System and method for transmitting data and ordering asynchronous data
A computer-implemented system includes an electromechanical device configured to be manipulated by a patient while performing an exercise session, and a processor in communication with the electromechanical device. The processor is configured to receive data, generate a map packet, and transmit the map packet. The processor is configured to use the data to generate continuity packets, where each of the continuity packets includes a contiguous portion of the data, and transmit the continuity packets. The processor is configured to use the map packet and the continuity packets to cause an output file to be generated.
This application is continuation of U.S. patent application Ser. No. 17/149,457, filed Jan. 14, 2021, titled “System and Method for Transmitting Data and Ordering Asynchronous Data”, which is a continuation-in-part of U.S. patent application Ser. No. 17/021,895, filed Sep. 15, 2020, titled “Telemedicine for Orthopedic Treatment,” which claims priority to and the benefit of U.S. Provisional Patent Application Ser. No. 62/910,232, filed Oct. 3, 2019, titled “Telemedicine for Orthopedic Treatment,” the entire disclosures of which are hereby incorporated by reference for all purposes. As a continuation of U.S. patent application Ser. No. 17/149,457, this application also claims priority to and the benefit of U.S. Provisional Patent application Ser. No. 63/028,399, filed May 21, 2020, titled “System and Method for Transmitting Data and Ordering Asynchronous Data,” the entire disclosures of which are hereby incorporated by reference for all purposes.
TECHNICAL FIELDThis disclosure relates generally to systems and methods of transmitting and processing data.
BACKGROUNDMedical devices may include one or more sensors that detect events and generate data pertaining to the events. The data from the sensors may flow in a data stream from the device to a network and, optionally, back to the device. This process can generate exceedingly large amounts of data, requiring substantial memory to use and to store the data. The data may be input into an electronic medical record (EMR) system. EMRs can include information related to the health of a patient, and such information may be contained in or called an “electronic health record.” The EMR can use and store electronic health records of patients (e.g., a collection of patient and population health information in a digital format). The health information may be used by a variety of entities, such as health care providers (e.g., physicians, physical therapists, nurses, etc.); insurance companies; billing companies; hospitals; laboratory service providers; psychological service providers (e.g., psychiatrists, psychologists, counselors, social workers); or any other suitable entity. These entities may use the health information to enable the determination of optimal treatments for their patients, to provide or deliver those treatments; and to accurately bill for the associated healthcare services provided to the patients. However, the substantial amount of memory that may be required to use and to store the data generated by the medical devices may result in higher healthcare costs. Further, bulk transmission of data from the medical devices to remote servers may impact network performance by causing higher peak network loads. In addition, waiting for data collection to complete before processing data may prevent health care providers from acting on error information or detecting problems with medical devices as quickly as possible. The use of telemedicine may increase the number of medical devices used by patients in their homes. For example, healthcare professionals may lease the medical devices to patients to use for rehabilitating from an injury or a surgery. A reduction in memory needed for medical devices to properly function may reduce the cost of the medical device and the fees for leasing the medical devices, resulting in reduced healthcare expenses. Further, as bulk transmission of large data files from medical devices may result in higher peak network loads, it may be desirable to reduce the size of individual files being transmitted. Further, transmitting data closer to the time it is generated may enable easier access to error information and faster responses to medical devices on which problems have been detected.
SUMMARYIn general, the present disclosure provides systems and methods for transmitting data and ordering asynchronous data.
In one aspect, a computer-implemented system includes an electromechanical device configured to be manipulated by a patient while performing an exercise session, and a processor in communication with the electromechanical device. The processor is configured to receive data, generate a map packet, and transmit the map packet. The processor is configured to use the data to generate continuity packets, where each of the continuity packets includes a contiguous portion of the data, and transmit the continuity packets. The processor is configured to use the map packet and the continuity packets to cause an output file to be generated.
In one aspect, a system for transmitting data is disclosed. The system includes an information-generating device and a processor in communication with the information-generating device. The processor is configured to receive data; to generate a map packet; to transmit the map packet; using the data, to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data; to transmit the continuity packets; and using the map packet and the continuity packets, to cause an output file to be generated.
In another aspect, a method for operating an information-generating device is disclosed. The method includes receiving data; generating a map packet; transmitting the map packet; using the data to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data; transmitting the continuity packets; and using the map packet and the continuity packets to cause an output file to be generated.
In yet another aspect, a tangible, non-transitory computer-readable storage medium is disclosed. The tangible, non-transitory computer-readable storage medium stores instructions that, when executed, cause a processor to receive data from an information-generating device; to generate a map packet; to transmit the map packet; using the data, to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data; to transmit the continuity packets; and using the map packet and the continuity packets, to cause an output file to be generated.
In yet another aspect, a system for ordering of asynchronously transmitted data is disclosed. The system includes a processor configured to receive, from an information-generating device, a map packet and continuity packets in an initial order. Responsive to receiving the map packet and at least two of the continuity packets, the processor is configured to use the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
In yet another aspect, a method for operating a computing device is disclosed. The method includes receiving, from an information-generating device, a map packet and continuity packets in an initial order, and, responsive to receiving the map packet and at least two of the continuity packets, using the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
In yet another aspect, a tangible, non-transitory computer-readable storage medium is disclosed. The tangible, non-transitory computer-readable storage medium stores instructions that, when executed, cause a processor to receive, from an information-generating device, a map packet and continuity packets in an initial order. Responsive to receiving the map packet and at least two of the continuity packets, the instructions cause the processor to use the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
In yet another aspect, a system for transmission and ordering of asynchronous data is disclosed. The system comprises an information-generating device comprising a device-side processor. The device-side processor is configured to receive data; generate a map packet; transmit the map packet; use the data to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data; and transmit the continuity packets. The system further comprises a remote computing device comprising a remote processor. The remote processor is configured to receive, from the information-generating device, the map packet; to receive, from the information-generating device, the continuity packets in an initial order; and responsive to receiving at least two of the continuity packets and the map packet, to use the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
Other technical features may be readily apparent to one skilled in the art from the following figures, descriptions, and claims.
Before undertaking the DETAILED DESCRIPTION below, it may be advantageous to set forth definitions of certain words and phrases used throughout this patent document. The term “couple” and its derivatives refer to any direct or indirect communication between two or more elements, independent of whether those elements are in physical contact with one another. The terms “transmit,” “receive,” and “communicate,” as well as derivatives thereof, encompass both direct and indirect communication. The terms “transmit,” “receive,” and “communicate,” as well as derivatives thereof, encompass both communication with remote systems and communication within a system, including reading and writing to different portions of a memory device. The terms “include” and “comprise,” as well as derivatives thereof, mean inclusion without limitation. The term “or” is inclusive, meaning and/or. The phrase “associated with,” as well as derivatives thereof, means to include, be included within, interconnect with, contain, be contained within, connect to or with, couple to or with, be communicable with, cooperate with, interleave, juxtapose, be proximate to, be bound to or with, have, have a property of, have a relationship to or with, or the like. The term “controller” means any device, system or part thereof that controls at least one operation. Such a controller may be implemented in hardware or a combination of hardware and software and/or firmware. The functionality associated with any particular controller may be centralized or distributed, whether locally or remotely. The phrase “at least one of,” when used with a list of items, means that different combinations of one or more of the listed items may be used, and only one item in the list may be needed. For example, “at least one of: A, B, and C” includes any of the following combinations: A, B, C, A and B, A and C, B and C, and A and B and C.
Moreover, various functions described below can be implemented or supported by one or more computer programs, each of which is formed from computer readable program code and embodied in a computer readable storage medium. The terms “application” and “program” refer to one or more computer programs, software components, sets of instructions, procedures, functions, objects, classes, instances, related data, or a portion thereof adapted for implementation in a suitable computer readable program code. The phrase “computer readable program code” includes any type of computer code, including source code, object code, and executable code. The phrase “computer readable storage medium” includes any type of medium capable of being accessed by a computer, such as read only memory (ROM), random access memory (RAM), a hard disk drive, a flash drive, a compact disc (CD), a digital video disc (DVD), solid state drive (SSD), or any other type of memory. A “non-transitory” computer readable storage medium excludes wired, wireless, optical, or other communication links that transport transitory electrical or other signals. A non-transitory computer-readable storage medium includes media where data can be permanently stored and media where data can be stored and later overwritten, such as a rewritable optical disc or an erasable memory device.
Definitions for other certain words and phrases are provided throughout this patent document. Those of ordinary skill in the art should understand that in many if not most instances, such definitions apply to prior as well as future uses of such defined words and phrases.
For a more complete understanding of this disclosure and its advantages, reference is now made to the following description, taken in conjunction with the accompanying drawings. It is emphasized that, according to common practice, the various features of the drawings are not to-scale. On the contrary, the dimensions of the various features are arbitrarily expanded or reduced for clarity.
The information-generating device 102 may include an electromechanical device 104, such as pedals 202 of the physical therapy cycle 200, a goniometer configured to attach to a joint and measure joint angles, or any other suitable electromechanical device. The electromechanical device 104 may be configured to be manipulated by a patient while performing an exercise session. The electromechanical device 104 may be configured to transmit information, such as pedal position information. A non-limiting example of positioning information includes information relating to the location of the electromechanical device 104 (e.g., the pedals 202).
The information-generating device 102 may include a sensor 106. The sensor 106 can be used for obtaining information, such as fingerprint information, retina information, voice information, height information, weight information, vital sign information (e.g., blood pressure, heart rate, etc.), response information to physical stimuli (e.g., change in heart rate while running on a treadmill), performance information (rate of speed of rotation of the pedals 202 of the physical therapy cycle 200), or any other suitable information. The sensor 106 may be a temperature sensor (such as a thermometer or thermocouple), a strain gauge, a proximity sensor, an accelerometer, an inclinometer, an infrared sensor, a pressure sensor, a light sensor, a smoke sensor, a chemical sensor, any other suitable sensor, a fingerprint scanner, a sound sensor, a microphone, or any combination thereof. The sensor 106 may be located on an interior or exterior of the device. For example, the sensor 106 may be a pedal position sensor located on the pedals 202 of the physical therapy cycle 200.
The information-generating device 102 may include a camera 108, such as a still image camera, a video camera, an infrared camera, an X-ray camera, any other suitable camera, or any combination thereof. The information-generating device 102 may include an imaging device 110, such as an MRI imaging device, an X-ray imaging device, a thermal imaging device, any other suitable imaging device, or any combination thereof. The information-generating device 102 may include a device-side processor 112. The device-side processor 112 can include, for example, computers, intellectual property (IP) cores, application-specific integrated circuits (ASICs), programmable logic arrays, optical processors, programmable logic controllers, microcode, microcontrollers, servers, microprocessors, digital signal processors, any other suitable circuit, or any combination thereof. The device-side processor may be in communication with the electromechanical device 104, the sensor 106, the camera 108, the imaging device 110, any other suitable device, or any combination thereof.
The information-generating device 102 may include a device-side memory 114 in communication with the device-side processor 112. The device-side memory 114 can include any type of memory capable of being accessed by a computer, such as read only memory (ROM), random access memory (RAM), a hard disk drive, a flash drive, a compact disc (CD), a digital video disc (DVD), solid state drive (SSD), or any other suitable type of memory. The device-side memory 114 may store instructions that cause the device-side processor 112 to perform a series of actions or processes.
The information-generating device 102 may include a device-side input 116 in communication with the device-side processor 112. Examples of the device-side input 116 include a keyboard, a keypad, a mouse, a microphone supported by speech-to-text software, or any other suitable input device. The device-side input 116 may be used by a medical system operator to input information, such as user-identifying information, observational notes, or any other suitable information. An operator is to be understood throughout this disclosure to include people, bots, robots, hardware, and/or computer software, such as programs or artificial intelligence, and any combination thereof.
The information-generating device 102 may include a device-side output 118 in communication with the device-side processor 112. The device-side output 118 may be used to provide information to the operator or a user (or patient) of the information-generating device 102. For the purposes of this disclosure, user and patient are used interchangeably. Examples of the device-side output 118 may include a display screen, a speaker, an alarm system, or any other suitable output device, including haptic, tactile, olfactory, or gustatory ones. In some embodiments, such as where the information-generating device 102 includes a touchscreen, the device-side input 116 and the device-side output 118 may be the same device.
For communicating with remote computers and servers, the information-generating device 102 may include a device-side network adapter 120 in communication with the device-side processor 112. The device-side network adapter 120 may include wired or wireless network adapter devices (e.g., a wireless modem or Bluetooth) or a wired network port.
The information-generating device 102 may be coupled to or be in communication with a remote computing device 122. The remote computing device 122 may include a remote processor 124. The remote processor 124 can include, for example, computers, intellectual property (IP) cores, application-specific integrated circuits (ASICs), programmable logic arrays, optical processors, programmable logic controllers, microcode, microcontrollers, servers, microprocessors, digital signal processors, any other suitable circuit, or any combination thereof
The remote computing device 122 may include a remote memory 126 in communication with the remote processor 124. The remote memory 126 can include any type of memory capable of being accessed by a computer, such as read only memory (ROM), random access memory (RAM), a hard disk drive, a flash drive, a compact disc (CD), a digital video disc (DVD), solid state drive (SSD), or any other suitable type of memory. The remote memory 126 may store instructions that cause the remote processor 124 to perform a series of actions or processes.
The remote computing device 122 may include a remote input 128 in communication with the remote processor 124. Examples of the remote input 128 include a keyboard, a keypad, a mouse, a microphone supported by speech-to-text software, or any other suitable input device. The remote input 128 may be used by a medical system operator to input information, such as user-identifying information, observational notes, or any other suitable information. An operator is to be understood throughout this disclosure to include people, bots, robots, hardware, and/or computer software, such as programs or artificial intelligence, and any combination thereof.
The remote computing device 122 may include a remote output 130 in communication with the remote processor 124. The remote output 130 may be used to provide information to the operator or a user (or patient) of the remote computing device 122. For the purposes of this disclosure, user and patient are used interchangeably. Examples of the remote output 130 may include a display screen, a speaker, an alarm system, or any other suitable output device, including haptic, tactile, olfactory, or gustatory ones. In some embodiments, such as where the remote computing device 122 includes a touchscreen, the remote input 128 and the remote output 130 may be the same device.
For communicating with the information-generating device 102, as well as remote computers and servers, the remote computing device 122 may include a remote network adapter 132 in communication with the remote processor 124. The remote network adapter 122 may include wired or wireless network adapter devices (e.g., a wireless modem or Bluetooth) or a wired network port.
Both the device-side network adapter 120 and the remote network adapter 132 may be in communication with a network 134. Transmissions between the information-generating device 102 and the remote computing device 122 may pass through the network 134. The network 134 may be a public network (e.g., connected to the Internet via wired (Ethernet) or wireless (Wi-Fi)), a private network (e.g., a local area network (LAN) or wide area network (WAN)), a combination thereof, or any other suitable network.
Any time information is transmitted or communicated, the information may be in EDI file format or any other suitable file format. In any of the processes or steps of the method, file format conversions may take place. By utilizing Internet of Things (IoT) devices or gateways, data streams, ETL bucketing, EDI mastering, or any other suitable technique, data can be mapped, converted, translated, or transformed into a carrier-preferred state. As a result of the volume of data being transmitted, the data security requirements, and the data consistency requirements, an enterprise grade architecture may be utilized for reliable data transfer.
At step 302, the method 300 includes, at the information-generating device 102, receiving data. For example, the device-side processor 112 can receive data from the electromechanical device 104, the sensor 106, the camera, 108, the imaging device 110, the device-side input 116, or any other suitable device. As a more specific example, the device-side processor 112 may receive an Mill image from an Mill imaging device (i.e., the imaging device 110). The data may be received as a stream of data. The stream of data may be a continuous stream of data. The device-side processor 112 may initially receive the data as a digital signal, an analog signal, or any other suitable signal. The device-side processor 112 may convert data from an analog signal to a digital signal.
At step 304, the method 300 includes, at the information-generating device, generating a map packet. The map packet contains data mapping information that indicates a means, a method, an approach or another mechanism for receiving the continuity packets. In some embodiments, the map packet includes end-of-file information that function as information against which data from later-received continuity packets can be compared for determining whether data transmission for a given file has ended. For example, the map packet may contain data mapping information indicating that the continuity packets will have a header following the format of “AA######AA”, and an end-of-file continuity packet will have an end-of-file header following the format of “AA######ZZ”. In this example, “######” indicates a numerical value starting at “000000” and going to a possible maximum of “999999” and “ZZ” functions as an end tag to indicate that the tagged continuity packet is the final continuity packet of the given file.
At step 306, the method 300 includes, at the information-generating device, transmitting the map packet. For example, the device-side processor 112 may direct the device-side network adapter 120 to transmit the map packet to the remote network adapter 132 of the remote computing device 122.
At step 308, the method 300 includes, at the information-generating device, generating the continuity packets. Each of the continuity packets is a data packet that includes a contiguous portion of the data. The continuity packets may be generated using the data. For example, the device-side processor 112 may take a contiguous portion of the data and place that contiguous portion into one of the continuity packets. One or more of the continuity packets may include header information that the processor can use to order the continuity packets. For example, a first continuity packet may include a first header including first header information of “AA000000AA”, and a second continuity packet may include a second header including second header information of “AA000001AA”. A contiguous portion of the data mapping information of the map packet may correspond to a contiguous portion of the header information. For example, the header information may include a contiguous portion of data, including the string “AA”. The string “AA” corresponds with a portion of the mapping information of the map packet, thereby indicating that header information of relevant continuity packets will contain the string “AA”. The header information may also include information pertaining to the portion of data contained in the continuity packet. The information-generating device generates the continuity packets in an initial order; however, a remote computing device 122 may not receive the continuity packets in the initial order (e.g., a first continuity packet may be generated first and a second continuity packet may be generated second, but the second packet may be received before the first packet is received). Thus, the header information may include information that the remote computing device 122 can use to order (e.g., reassemble) the continuity packets, such as the initial order that the continuity packets were generated. The header information of an end-of-file continuity packet can include an end tag corresponding to a contiguous portion of the end-of-file information. For example, an end-of-file continuity packet may include end-of-file header information of “AA000002ZZ”, where “ZZ” functions as the end tag. The generation of the continuity packets may occur all at once or be spread out over time as more data is received, so the end-of file header information is used to indicate an end of the data stream.
At step 310, the method 300 includes, at the information-generating device, transmitting the continuity packets. For example, the device-side processor 112 may direct the device-side network adapter 120 to transmit the continuity packets to the remote network adapter 132 of the remote computing device 122. This transmission may occur after all continuity packets have been generated, as the continuity packets are being generated, or any combination thereof. In cases where the generation of the continuity packets is spread out over time as more data is received, the generation and the transmission of the continuity packets allow for a reduced memory requirement and reduced peak network loads relative to first waiting for all of the data to be received. For instance, if, before generating the continuity packets, the information-generating device waits until all of the data is received (e.g., from the sensors), the device-side memory 114 may have to store the entirety of the data (i.e., which may require a substantial amount of memory to store an extremely large file), rather than temporarily storing a portion of the data while the device-side processor 112 generates and transmits each continuity packet. Similarly, if, before transmitting the continuity packets, the information-generating device waits until all of the data has been received and all of the continuity packets have been generated, the network loads required for the transmission may be higher because a larger amount of data is being transmitted at once (e.g., all of the continuity packets are being transmitted in a short time period).
At step 312, the method 300 includes, at the remote computing device (e.g., the remote computing device 122), receiving the map packet. The map packet may be received from the information-generating device 102. For example, the remote computing device 122 may receive the map packet by way of the remote network adapter 132.
At step 314, the method 300 includes, at the remote computing device, receiving continuity packets in an initial order. The continuity packets may be received from the information-generating device 102. For example, continuity packets may be received by the remote computing device 122 by way of the remote network adapter 132 in an initial order wherein the second continuity packet is received first, the first continuity packet is received second, and the end-of-file continuity packet is received third.
At step 316, the method 300 includes, at the remote computing device, generating an output file. Responsive to receiving at least two of the continuity packets and the map packet, the map packet may be used to generate an output file. The output file may be generated by ordering the continuity packets from the initial order into an output order. For example, given the initial order described above in step 314, the remote processor 124 may order the continuity packets, or contiguous portions of the continuity packets corresponding to contiguous portions of the data, into an output order. The output order may be as follows: 1) the first continuity packet, 2) the second continuity packet, and 3) the end-of-file continuity packet. In some embodiments, as the remote processor receives the continuity packets, the remote processor may contemporaneously generate the output file. For example, the remote computing device 124 may receive the second continuity packet first and the first continuity packet second, but not yet have received the end-of-file continuity packet, in which case the remote processor 124 may order the continuity packets into an output order having the first continuity packet first and the second continuity packet second. In some embodiments, while the output file is being generated, the continuity packets are configured to be readable by external processes. Examples of such external processes include maintenance processes configured to check for device maintenance status or error messages. Such external processes may be able to read and/or respond to maintenance requests or errors prior to ordering, such that an error message contained in the continuity packets can be read prior to completing the generation of the output file. For example, if a patient is undergoing a CT scan performed by a CT scanner, a processor may monitor and read the data in real-time or near real-time to detect an error message. In this example, if the CT scanner generates a continuity packet containing an error message indicating a fault with the CT scanner (e.g., the data obtained by the CT scanner will be unusable), then, at the direction of such an external monitoring process, the remote processor 124 may read the error message prior to ordering and generating the output file and stop the CT scanner during the CT scan. Stopping the CT scan prior to its completion would limit the patient's unnecessary exposure to X-rays, as any exposure after the error may not result in usable data.
At step 318, the method 300 may include, at the remote computing device, using the end tag to generate an end-of-file indicator. For example, a flag may be used or a variable may be set as an end-of-file indicator when the end-of-file continuity packet containing the end tag “ZZ” is received (i.e., the remote processor may change a variable “end-of-file-reached” from “false” to “true”).
At step 320, the method 300 may include using the header information, the map packet, and the end-of-file indicator to determine whether any continuity packets remain to be received. For example, if the first continuity packet containing the first header information of “AA000000AA” and the end-of-file continuity packet containing the end-of-file header information “AA000002ZZ” (and thus the end tag “ZZ”) have been received, the remote processor 124 may determine that the second continuity packet has not been received. If any continuity packets remain to be received, the method 300 proceeds to step 322. If all continuity packets have been received, the method 300 proceeds to step 330.
At step 322, if any continuity packets remain to be received, the method 300 may include determining a non-zero wait time period. For example, if the second continuity packet has not been received, the remote processor 124 may determine a wait time period. The wait time period may be between two seconds and ten seconds, or any other suitable period of time.
At step 324, the method 300 may include, at the remote computing device, determining if any continuity packets were received within the wait time period. For example, if the second continuity packet, which had not been previously received, is received within the wait time period, the remote computing device may determine that a continuity packet was received within the wait time period, subsequent to which the method 300 proceeds to step 326. However, if the second continuity packet is not received within the wait time period, the remote processor 124 may determine that the continuity packet was not received within the wait time period, subsequent to which the method 300 proceeds to step 328.
At step 326, responsive to receiving another continuity packet within the non-zero wait time period, the method 300 may include the remote computing device continuing to generate the output file. For example, if the determination is that the second continuity packet that had not been previously received is received within the wait time period, then the remote processor 124 may continue generating the output file. The method 300 may return to step 320.
At step 328, responsive to determining the non-zero wait time period and not receiving another continuity packet within the non-zero wait time period, the method 300 may include the remote computing device transmitting an error signal. For example, if the determination is that the second continuity packet that had not been previously received was not received within the wait time period, the remote processor 124 may direct the remote network adapter 132 to transmit an error message and/or the remote output 130 to present the error message (e.g., “Error: Incomplete Data”).
At step 330, responsive to determining that every continuity packet has been received, the method 300 includes transmitting the output file. For example, if the first continuity packet, the second continuity packet, and the end-of-file continuity packet have been received and ordered (e.g., into an output file), the remote processor 124 may direct the remote network adapter 132 to transmit the output file via the network 134.
At step 402, the method 400 includes, at the information-generating device (e.g., the information-generating device 102), receiving data. For example, the device-side processor 112 can receive data from the electromechanical device 104, the sensor 106, the camera 108, the imaging device 110, the device-side input 116, or any other suitable device. As a more specific example, the device-side processor 112 may receive an MM image from an Mill imaging device (i.e., the imaging device 110). The data may be received as a stream of data. The stream of data may be a continuous stream of data. The device-side processor 112 may initially receive the data as a digital signal, an analog signal, or any other suitable signal. The device-side processor 112 may convert data from an analog signal to a digital signal.
At step 404, the method 400 includes, at the information-generating device, generating a map packet. The map packet contains data mapping information that indicates a means, a method, an approach, or another mechanism for receiving the continuity packets. In some embodiments, the map packet includes end-of-file information that function as information against which data from later-received continuity packets can be compared for determining whether data transmission for a given file has ended. For example, the map packet may contain data mapping information indicating that the continuity packets will have a header following the format of “AA######AA”, and an end-of-file continuity packet will have an end-of-file header following the format of “AA######ZZ”. In this example, “######” indicates a numerical value starting at “000000” and going to a possible maximum of “999999” and “ZZ” functions as an end tag to indicate that the tagged continuity packet is the final continuity packet of the given file.
At step 406, the method 400 includes, at the information-generating device, transmitting the map packet. For example, the device-side processor 112 may direct the device-side network adapter 120 to transmit the map packet to the remote network adapter 132 of the remote computing device 122.
At step 408, the method 400 includes, at the information-generating device, generating the continuity packets. Each of the continuity packets is a data packet that includes a contiguous portion of the data. The continuity packets may be generated using the data. For example, the device-side processor 112 may take a contiguous portion of the data and place that contiguous portion into one of the continuity packets. One or more of the continuity packets may include header information that the processor can use to order the continuity packets. For example, a first continuity packet may include a first header including first header information of “AA000000AA”, and a second continuity packet may include a second header including second header information of “AA000001AA”. A contiguous portion of the data mapping information of the map packet may correspond to a contiguous portion of the header information. For example, the header information may include a contiguous portion of data including the string “AA”. The string “AA” corresponds to a portion of the mapping information of the map packet, indicating that header information of relevant continuity packets will contain the string “AA”. The header information may also include information pertaining to the portion of data contained in the continuity packet. The information-generating device generates the continuity packets in an initial order; however, a remote computing device 122 may not receive the continuity packets in the initial order (e.g., a first continuity packet may be generated first and a second continuity packet may be generated second, but the second packet may be received before the first packet has been received). Thus, the header information may include information that the remote computing device 122 can use to order (e.g., reassemble) the continuity packets, such as the initial order that the continuity packets were generated. The header information of an end-of-file continuity packet can include an end tag corresponding to a contiguous portion of the end-of-file information. For example, an end-of-file continuity packet may include end-of-file header information of “AA000002ZZ”, where “ZZ” functions as the end tag. The generation of the continuity packets may occur all at once or be spread out over time as more data is received, so the end-of file header information may be used to indicate an end of the data stream.
At step 410, the method 400 includes, at the information-generating device, transmitting the continuity packets. For example, the device-side processor 112 may direct the device-side network adapter 120 to transmit the continuity packets to the remote network adapter 132 of the remote computing device 122. This transmission may occur after all continuity packets have been generated, as the continuity packets are being generated, or any combination thereof. In cases where the generation of the continuity packets is spread out over time as more data is received, the generation and the transmission of the continuity packets allow for a reduced memory requirement and reduced peak network loads relative to waiting for all of the data to be received. For instance, if, before generating the continuity packets, the information-generating device waits until all of the data is received (e.g., from the sensors), the device-side memory 114 may have to store the entirety of the data (i.e., which may require a substantial amount of memory to store an exceedingly large file), rather than temporarily storing a portion of the data while the device-side processor 112 generates and transmits each continuity packet. Similarly, if, before transmitting the continuity packets, the information-generating device waits until all of the data has been received and all of the continuity packets have been generated, the network loads required for the transmission may be higher because a larger amount of data is being transmitted at once (e.g., all of the continuity packets are being transmitted in a short time period). The method 400 may proceed to step 412 or step 416.
At step 412, the method 400 may include causing the remote computing device (e.g., the remote computing device 122) to receive the map packet. The map packet may be received from the information-generating device 102. For example, the remote computing device 122 may receive the map packet by way of the remote network adapter 132.
At step 414, the method 400 may include causing the remote computing device to receive continuity packets in an initial order. The continuity packets may be received from the information-generating device 102. For example, continuity packets may be received by the remote computing device 122 by way of the remote network adapter 132 in an initial order where the second continuity packet is received first, the first continuity packet is received second, and the end-of-file continuity packet is received third.
At step 416, the method 400 includes, at the remote computing device, generating an output file. Responsive to receiving at least two of the continuity packets and the map packet, the map packet may be used to generate an output file. The output file may be generated by ordering the continuity packets from the initial order into an output order. For example, given the initial order described above in step 414, the remote processor 124 may order the continuity packets, or contiguous portions of the continuity packets corresponding to contiguous portions of the data, into an output order. The output order may be as follows: 1) the first continuity packet, 2) the second continuity packet, and 3) the end-of-file continuity packet. In some embodiments, as the remote processor receives the continuity packets, the remote processor may contemporaneously generate the output file. For example, the remote computing device 124 may receive the second continuity packet first and the first continuity packet second, but not yet have received the end-of-file continuity packet, after which the remote processor 124 may order the continuity packets into an output order having the first continuity packet first and the second continuity packet second. In some embodiments, while the output file is being generated, the continuity packets are configured to be readable by external processes. Examples of such external processes include maintenance processes configured to check for device maintenance status or error messages. Such external process may be able to read and/or respond to maintenance requests or errors prior to ordering, such that an error message contained in the continuity packets can be read prior to completing the generation of the output file. For example, if a patient is undergoing a CT scan performed by a CT scanner, a processor may monitor and read the data in real-time or near real-time to detect an error message. In this example, if the CT scanner generates a continuity packet containing an error message indicating a fault with the CT scanner (e.g., the data obtained by the CT scanner will be unusable), then, at the direction of such an external monitoring process, the remote processor 124 may read the error message prior to ordering and generating the output file and stop the CT scanner during the CT scan. Stopping the CT scan prior to its completion would limit the patient's unnecessary exposure to X-rays, as any exposure after the error may not result in usable data.
At step 502, the method 500 includes, at the remote computing device (e.g., the remote computing device 122), receiving the map packet. The map packet may be received from the information-generating device 102. For example, the remote computing device 122 may receive the map packet by way of the remote network adapter 132. The map packet contains data mapping information that functions as an indicator of how continuity packets will be received. In some embodiments, the map packet includes end-of-file information that function as information against which data from later-received continuity packets can be compared for determining whether data transmission for a given file has ended. For example, the map packet may contain data mapping information indicating that the continuity packets will have a header following the format of “AA######AA”, and an end-of-file continuity packet will have an end-of-file header following the format of “AA######ZZ”. In this case, “######” indicates a numerical value starting at “000000” and going to a possible maximum of “999999” and “ZZ” functions as an end tag to indicate that the tagged continuity packet is the final continuity packet of the given file.
At step 504, the method 500 includes, at the remote computing device, receiving continuity packets in an initial order. The continuity packets may be received from the information-generating device 102. For example, continuity packets may be received by the remote computing device 122 by way of the remote network adapter 132 in an initial order where the second continuity packet is received first, the first continuity packet is received second, and the end-of-file continuity packet is received third. Each of the continuity packets is a data packet that includes a contiguous portion of the data. The continuity packets may be generated using the data. For example, the device-side processor 112 may take a contiguous portion of the data and place that contiguous portion into one of the continuity packets. One or more of the continuity packets may include header information that the processor can use to order the continuity packets. For example, a first continuity packet may include a first header including first header information of “AA000000AA”, and a second continuity packet may include a second header including second header information of “AA000001AA”. A contiguous portion of the data mapping information of the map packet may correspond to a contiguous portion of the header information. For example, the header information may include a contiguous portion of data including the string “AA”. The string “AA” corresponds to a portion of the mapping information of the map packet, indicating that header information of relevant continuity packets will contain the string “AA.” The header information may also include information pertaining to the portion of data contained in the continuity packet. The information-generating device generates the continuity packets in an initial order; however, a remote computing device 122 may not receive the continuity packets in the initial order (e.g., a first continuity packet may be generated first and a second continuity packet may be generated second, but the second packet may be received before the first packet is received). Thus, the header information may include information that the remote computing device 122 can use to order (e.g., reassemble) the continuity packets, such as in the initial order that the continuity packets were generated. The header information of an end-of-file continuity packet can include an end tag corresponding to a contiguous portion of the end-of-file information. For example, an end-of-file continuity packet may include end-of-file header information of “AA000002ZZ”, where “ZZ” functions as the end tag.
At step 506, the method 500 includes, at the remote computing device, generating an output file. Responsive to receiving at least two of the continuity packets and the map packet, the map packet may be used to generate an output file. The output file may be generated by ordering the continuity packets from the initial order into an output order. For example, given the initial order described above in step 504, the remote processor 124 may order the continuity packets, or contiguous portions of the continuity packets corresponding to contiguous portions of the data, into an output order. The output order may be as follows: 1) the first continuity packet, 2) the second continuity packet, and 3) the end-of-file continuity packet. In some embodiments, as the remote processor receives the continuity packets, the remote processor may contemporaneously generate the output file. For example, the remote computing device 124 may receive the second continuity packet first and the first continuity packet second, but not yet have received the end-of-file continuity packet; and after that, the remote processor 124 may order the continuity packets into an output order having the first continuity packet first and the second continuity packet second. In some embodiments, while the output file is being generated, the continuity packets are configured to be readable by external processes. Examples of such external processes include maintenance processes configured to check for device maintenance status or error messages. Such external process may be able to read and/or respond to maintenance requests or errors prior to ordering, such that an error message contained in the continuity packets can be read prior to completing the generation of the output file. For example, if a patient is undergoing a CT scan performed by a CT scanner, a processor may monitor and read the data in real-time or near real-time to detect an error message. In this example, if the CT scanner generates a continuity packet containing an error message indicating a fault with the CT scanner (e.g., the data obtained by the CT scanner will be unusable), then, at the direction of such an external monitoring process, the remote processor 124 may read the error message prior to ordering and generating the output file and stop the CT scanner during the CT scan. Stopping the CT scan prior to its completion would limit the patient's unnecessary exposure to X-rays, as any exposure after the error may not result in usable data.
At step 508, the method 500 may include, at the remote computing device, using the end tag to generate an end-of-file indicator. For example, a flag may be used or a variable may be set as an end-of-file indicator when the end-of-file continuity packet containing the end tag “ZZ” is received (i.e., the remote processor may change a variable “end-of-file-reached” from “false” to “true”).
At step 510, the method 500 may include using the header information, the map packet, and the end-of-file indicator to determine whether any continuity packets remain to be received. For example, if the first continuity packet containing the first header information of “AA000000AA” and the end-of-file continuity packet containing the end-of-file header information “AA000002ZZ” (and thus the end tag “ZZ”) have been received, the remote processor 124 may determine that the second continuity packet has not been received. If any continuity packets remain to be received, the method 500 proceeds to step 512. If all continuity packets have been received, the method 300 proceeds to step 520.
At step 512, if any continuity packets remain to be received, the method 500 may include determining a non-zero wait time period. For example, if the second continuity packet has not been received, the remote processor 124 may determine a wait time period. The wait time period may be between two seconds and ten seconds, or any other suitable period of time.
At step 514, the method 500 may include, at the remote computing device, determining if any continuity packets were received within the wait time period. For example, if the second continuity packet, which had not been previously received, is received within the wait time period, the remote computing device may determine that a continuity packet was received within the wait time period, subsequent to which the method 500 proceeds to step 516. However, if the second continuity packet is not received within the wait time period, the remote processor 124 may determine that the continuity packet was not received within the wait time period, subsequent to which the method 500 proceeds to step 518.
At step 516, responsive to receiving another continuity packet within the non-zero wait time period, the method 500 may include the remote computing device continuing to generate the output file. For example, if the determination is that the second continuity packet that had not been previously received is received within the wait time period, then the remote processor 124 may continue generating the output file. The method 500 may then return to step 520.
At step 518, responsive to determining the non-zero wait time period and not receiving another continuity packet within the non-zero wait time period, the method 500 may include the remote computing device transmitting an error signal. For example, if the determination is that the second continuity packet that had not been previously received was not received within the wait time period, the remote processor 124 may direct the remote network adapter 132 to transmit an error message and/or the remote output 130 to present the error message (e.g., “Error: Incomplete Data”).
At step 520, responsive to determining that every continuity packet has been received, the method 500 includes transmitting the output file. For example, if the first continuity packet, the second continuity packet, and the end-of-file continuity packet have been received and ordered (e.g., into an output file), the remote processor 124 may direct the remote network adapter 132 to transmit the output file via the network 134.
The term “computer-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “computer-readable storage medium” shall also be taken to include any medium capable of storing, encoding or carrying a set of instructions for execution by the machine and causing the machine to perform any one or more of the methodologies of the present disclosure. The term “computer-readable storage medium” shall accordingly be taken to include, but not be limited to, solid-state memories, optical media, and magnetic media.
Any of the systems and methods described in this disclosure may be used in connection with rehabilitation. Unless expressly stated otherwise, is to be understood that rehabilitation includes prehabilitation (also referred to as “pre-habilitation” or “prehab”). Prehabilitation may be used as a preventative procedure or as a pre-surgical or pre-treatment procedure. Prehabilitation may include any action performed by or on a patient (or directed to be performed by or on a patient, including, without limitation, remotely or distally through telemedicine) to, without limitation, prevent or reduce a likelihood of injury (e.g., prior to the occurrence of the injury); improve recovery time subsequent to surgery; improve strength subsequent to surgery; or any of the foregoing with respect to any non-surgical clinical treatment plan to be undertaken for the purpose of ameliorating or mitigating injury, dysfunction, or other negative consequence of surgical or non-surgical treatment on any external or internal part of a patient's body. For example, a mastectomy may require prehabilitation to strengthen muscles or muscle groups affected directly or indirectly by the mastectomy. As a further non-limiting example, the removal of an intestinal tumor, the repair of a hernia, open-heart surgery or other procedures performed on internal organs or structures, whether to repair those organs or structures, to excise them or parts of them, to treat them, etc., can require cutting through and harming numerous muscles and muscle groups in or about, without limitation, the abdomen, the ribs and/or the thoracic cavity. Prehabilitation can improve a patient's speed of recovery, measure of quality of life, level of pain, etc. in all the foregoing procedures. In one embodiment of prehabilitation, a pre-surgical procedure or a pre-non-surgical-treatment may include one or more sets of exercises for a patient to perform prior to such procedure or treatment. The patient may prepare an area of his or her body for the surgical procedure by performing the one or more sets of exercises, thereby strengthening muscle groups, improving existing and/or establishing new muscle memory, enhancing mobility, improving blood flow, and/or the like.
In some embodiments, the systems and methods described herein may use artificial intelligence and/or machine learning to generate a prehabilitation treatment plan for a user. Additionally, or alternatively, the systems and methods described herein may use artificial intelligence and/or machine learning to recommend an optimal exercise machine configuration for a user. For example, a data model may be trained on historical data such that the data model may be provided with input data relating to the user and may generate output data indicative of a recommended exercise machine configuration for a specific user. Additionally, or alternatively, the systems and methods described herein may use machine learning and/or artificial intelligence to generate other types of recommendations relating to prehabilitation, such as recommended reading material to educate the patient, a recommended health professional specialist to contact, and/or the like.
Consistent with the above disclosure, the examples of systems and method enumerated in the following clauses are specifically contemplated and are intended as a non-limiting set of examples.
Clause 1. A system for transmitting data comprising:
-
- an information-generating device;
- a processor in communication with the information-generating device, wherein the processor is configured to:
- receive data;
- generate a map packet;
- transmit the map packet;
- using the data, generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data;
- transmit the continuity packets; and
- using the map packet and the continuity packets, cause an output file to be generated.
Clause 2. The system of any clause herein, wherein the processor is further configured to:
-
- cause a remote processor to receive the map packet;
- cause the remote processor to receive the continuity packets; and
- wherein, responsive to the remote processor receiving the map packet and at least two of the continuity packets, the remote processor generates the output file.
Clause 3. The system of any clause herein, wherein, as the continuity packets are received, the remote processor generates the output file in real-time or near real time.
Clause 4. The system of any clause herein, wherein the remote processor receives the continuity packets in an initial order; and
-
- wherein, using the map packet, the processor is configured to cause the remote processor to generate the output file by ordering the continuity packets from the initial order into an output order.
Clause 5. The system of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 6. The system of any clause herein, wherein each of the continuity packets comprises header information.
Clause 7. The system of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 8. The system of any clause herein, wherein the information-generating device comprises a medical device.
Clause 9. The system of any clause herein, wherein the medical device is an orthopedic rehabilitation device.
Clause 10. The system of any clause herein, further comprising a memory device operatively coupled to the processor, wherein the memory device stores instructions, and wherein the processor is configured to execute the instructions.
Clause 11. A method for operating an information-generating device, comprising:
-
- receiving data;
- generating a map packet;
- transmitting the map packet;
- using the data to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data;
- transmitting the continuity packets; and
- using the map packet and the continuity packets to cause an output file to be generated.
Clause 12. The method of any clause herein, further comprising:
-
- causing a remote processor to receive the map packet;
- causing the remote processor to receive the continuity packets; and
- wherein, responsive to the remote processor receiving the map packet and at least two of the continuity packets, the remote processor generates the output file.
Clause 13. The method of any clause herein, wherein, as the continuity packets are received, the remote processor generates the output file in real-time or near real time.
Clause 14. The method of any clause herein, wherein the remote processor receives the continuity packets in an initial order; and
-
- wherein, using the map packet, the method further comprises causing the remote processor to generate the output file by ordering the continuity packets from the initial order into an output order.
Clause 15. The method of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 16. The method of any clause herein, wherein each of the continuity packets comprises header information.
Clause 17. The method of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 18. The method of any clause herein, wherein the information-generating device comprises a medical device.
Clause 19. The method of any clause herein, wherein the medical device is an orthopedic rehabilitation device.
Clause 20. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, cause a processor to:
-
- receive data from an information-generating device;
- generate a map packet;
- transmit the map packet;
- using the data, generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data;
- transmit the continuity packets; and
- using the map packet and the continuity packets, cause an output file to be generated.
Clause 21. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to:
-
- cause a remote processor to receive the map packet;
- cause the remote processor to receive the continuity packets; and
- responsive to the remote processor receiving the map packet and at least two of the continuity packets, cause the remote processor to generate the output file.
Clause 22. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein, as the continuity packets are received, the remote processor generates the output file.
Clause 23. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the remote processor receives the continuity packets in an initial order; and
-
- wherein, using the map packet, the instructions further cause the processor to cause the remote processor to generate the output file by ordering the continuity packets from the initial order into an output order.
Clause 24. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 25. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein each of the continuity packets comprises header information.
Clause 26. The tangible, non-transitory computer-readable storage medium of any clause herein wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 27. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the information-generating device comprises a medical device.
Clause 28. The tangible, non-transitory computer-readable storage medium of any preceding clause, wherein the medical device is an orthopedic rehabilitation device.
Clause 29. A system for ordering of asynchronously transmitted data, comprising:
-
- a processor configured to:
- receive, from an information-generating device, a map packet;
- receive, from the information-generating device, continuity packets in an initial order; and
- responsive to receiving the map packet and at least two of the continuity packets, use the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
- a processor configured to:
Clause 30. The system of any clause herein, wherein, as the continuity packets are received, the processor is configured to generate the output file in real-time or near real time.
Clause 31. The system of any clause herein, wherein, while the output file is being generated, the continuity packets are configured to be readable by external processes.
Clause 32. The system of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 33. The system of any clause herein, wherein each of the continuity packets comprises header information.
Clause 34. The system of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 35. The system of any clause herein, wherein, using the end tag, the processor is further configured to generate an end-of-file indication.
Clause 36. The system of any clause herein, wherein the processor is further configured to:
-
- use the header information, the map packet, and the end-of-file indication, to determine whether any continuity packet remains to be received;
- responsive to any continuity packets remaining to be received, determine a non-zero wait time period;
- responsive to receiving another continuity packet within the non-zero wait time period, continue to generate the output file; and
- responsive to receiving no further continuity packets within the non-zero wait time period, transmit an error signal.
Clause 37. The system of any clause herein, wherein the processor is further configured to:
-
- use the header information, the map packet, and the end-of-file indication to determine whether every continuity packet has been received; and
- if every continuity packet has been received, transmit the output file.
Clause 38. The system of any clause herein, wherein the information-generating device comprises a medical device.
Clause 39. The system of any clause herein, wherein the medical device is an orthopedic rehabilitation device.
Clause 40. The system of any clause herein, further comprising a memory device operatively coupled to the processor, wherein the memory device stores instructions, and wherein the processor is configured to execute the instructions.
Clause 41. A method for operating a computing device, comprising:
-
- receiving, from an information-generating device, a map packet;
- receiving, from the information-generating device, continuity packets in an initial order; and
- responsive to receiving the map packet and at least two of the continuity packets, using the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
Clause 42. The method of any clause herein, wherein, as the continuity packets are received, the output file is generated in real-time or near real-time.
Clause 43. The method of any clause herein, wherein, while the output file is being generated, the continuity packets are configured to be readable by external processes.
Clause 44. The method of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 45. The method of any clause herein, wherein each of the continuity packets comprises header information.
Clause 46. The method of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 47. The method of any clause herein, further comprising using the end tag to generate an end-of-file indication.
Clause 48. The method of any clause herein, further comprising:
-
- using the header information, the map packet, and the end-of-file indication to determine whether every continuity packet has been received;
- responsive to any continuity packets remaining to be received, determining a non-zero wait time period;
- responsive to receiving another continuity packet within the non-zero wait time period, continuing to generate the output file; and
- responsive to receiving no further continuity packets within the non-zero wait time period, transmitting an error signal.
Clause 49. The method of any clause herein, further comprising:
-
- using the header information, the map packet, and the end-of-file indication to determine whether every continuity packet has been received; and
- if every continuity packet has been received, transmitting the output file.
Clause 50. The method of any clause herein, wherein the information-generating device comprises a medical device.
Clause 51. The method of any clause herein, wherein the medical device is an orthopedic rehabilitation device.
Clause 52. A tangible, non-transitory computer-readable storage medium storing instructions that, when executed, cause a processor to:
-
- receive, from an information-generating device, a map packet;
- receive, from the information-generating device, continuity packets in an initial order; and
- responsive to receiving the map packet and at least two of the continuity packets, using the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
Clause 53. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein, as the continuity packets are received, the processor contemporaneously generates the output file.
Clause 54. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the continuity packets are configured to be readable by external processes while the output file is being generated.
Clause 55. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 56. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein each of the continuity packets comprises header information.
Clause 57. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 58. The tangible, non-transitory computer-readable storage medium of any preceding clause, wherein the instructions further cause the processor to use the end tag to generate an end-of-file indication.
Clause 59. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to:
-
- use the header information, the map packet, and the end-of-file indication, to determine whether any continuity packet remains to be received;
- responsive to any continuity packet remaining to be received, determine a non-zero wait time period;
- responsive to receiving another continuity packet within the non-zero wait time period, continue generating the output file; and
- responsive to receiving no further continuity packets within the non-zero wait time period, transmit an error signal.
Clause 60. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the instructions further cause the processor to:
-
- use the header information, the map packet, and the end-of-file indication to determine whether every continuity packet has been received; and
- responsive to determining that every continuity packet has been received, transmit the output file.
Clause 61. The tangible, non-transitory computer-readable storage medium of any clause herein, wherein the information-generating device comprises a medical device.
Clause 62. The tangible, non-transitory computer-readable storage medium of any preceding clause, wherein the medical device is an orthopedic rehabilitation device.
Clause 63. A system for transmitting data and ordering asynchronous data, comprising:
-
- an information-generating device comprising a device-side processor configured to:
- receive data;
- generate a map packet;
- transmit the map packet;
- use the data to generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data;
- transmit the continuity packets; and
- a remote computing device comprising a remote processor configured to:
- receive, from the information-generating device, the map packet;
- receive, from the information-generating device, the continuity packets in an initial order; and
- responsive to receiving at least two of the continuity packets and the map packet, use the map packet to generate an output file by ordering the continuity packets from the initial order into an output order.
- an information-generating device comprising a device-side processor configured to:
Clause 64. The system of any clause herein, wherein, as the remote processor receives the continuity packets, the remote processor contemporaneously generates the output file.
Clause 65. The system of any clause herein, wherein, while the output file is being generated, the continuity packets are configured to be readable by external processes.
Clause 66. The system of any clause herein, wherein one or more of the continuity packets comprise header information; and
-
- wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
Clause 67. The system of any clause herein, wherein each of the continuity packets comprises header information.
Clause 68. The system of any clause herein, wherein the map packet comprises end-of-file information;
-
- wherein one or more of the continuity packets comprise header information; and
- wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of the end-of-file information.
Clause 69. The system of any clause herein, wherein the remote processor is further configured to, using the end tag, generate an end-of-file indication.
Clause 70. The system of any clause herein, wherein the remote processor is further configured to:
-
- use the header information, the map packet, and the end-of-file indication to determine whether any continuity packets remain to be received;
- if any continuity packets remain to be received, determine a non-zero wait time period;
- responsive to determining the non-zero wait time period and receiving another continuity packet within the non-zero wait time period, continue generating the output file; and
- responsive to determining the non-zero wait time period and not receiving another continuity packet within the non-zero wait time period, transmit an error signal.
Clause 71. The system of any clause herein, wherein the remote processor is further configured to:
-
- use the header information, the map packet, and the end-of-file indication to determine whether every continuity packet has been received; and
- responsive to determining that every continuity packet has been received, transmit the output file.
Clause 72. The system of any clause herein, wherein the information-generating device comprises a medical device.
Clause 73. The system of any clause herein, wherein the medical device is an orthopedic rehabilitation device.
Clause 74. The system of any clause herein, further comprising a device-side memory device operatively coupled to the device-side processor, wherein the device-side memory device stores device-side instructions, and wherein the device-side processor is configured to execute the device-side instructions.
Clause 75. The system of any clause herein, further comprising a remote memory device operatively coupled to the remote processor, wherein the remote memory device stores remote instructions, and wherein the remote processor is configured to execute the remote instructions.
Clause 76. A computer-implemented system, comprising:
-
- an electromechanical device configured to be manipulated by a patient while performing an exercise session;
- a processor in communication with the electromechanical device, wherein the processor is configured to:
- receive data;
- generate a map packet;
- transmit the map packet;
- using the data, generate continuity packets, wherein each of the continuity packets comprises a contiguous portion of the data;
- transmit the continuity packets; and
- using the map packet and the continuity packets, cause an output file to be generated.
Clause 77. The computer-implemented system of any clause herein, wherein the processor is further configured to:
-
- cause a remote processor to receive the map packet;
- cause the remote processor to receive the continuity packets; and
- wherein, responsive to the remote processor receiving the map packet and at least two of the continuity packets, the remote processor generates the output file.
Clause 78. The computer-implemented system of any clause herein, wherein, as the continuity packets are received, the remote processor generates the output file in real-time or near real time.
No part of the description in this application should be read as implying that any particular element, step, or function is an essential element that must be included in the claim scope. The scope of patented subject matter is defined only by the claims. Moreover, none of the claims is intended to invoke 35 U.S.C. § 112(f) unless the exact words “means for” are followed by a participle.
The foregoing description, for purposes of explanation, use specific nomenclature to provide a thorough understanding of the described embodiments. However, it should be apparent to one skilled in the art that the specific details are not required to practice the described embodiments. Thus, the foregoing descriptions of specific embodiments are presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the described embodiments to the precise forms disclosed. It should be apparent to one of ordinary skill in the art that many modifications and variations are possible in view of the above teachings.
The above discussion is meant to be illustrative of the principles and various embodiments of the present invention. Once the above disclosure is fully appreciated, numerous variations and modifications will become apparent to those skilled in the art. It is intended that the following claims be interpreted to embrace all such variations and modifications.
Claims
1. A method for operating a remote processor, comprising:
- receiving a map packet;
- receiving at least two continuity packets, wherein each comprises a contiguous portion of data, wherein: another processor generates the map packet and uses data received by an electromechanical device to generate the at least two continuity packets, and the remote processor receives the at least two continuity packets in an initial order; and generating, using the map packet, an output file in real-time or near real-time, wherein: the remote processor generates the output file by ordering the at least two continuity packets from the initial order into an output order, wherein the output order is one of the same order as the initial order or a reordering of the initial order.
2. The method of claim 1, wherein one or more of the at least two continuity packets comprise header information.
3. The method of claim 2, wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
4. The method of claim 1, wherein each of the at least two continuity packets comprises header information.
5. The method of claim 1, wherein the map packet comprises end-of-file information.
6. The method of claim 1, wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of end-of-file information in the map packet.
7. The method of claim 1, wherein the electromechanical device comprises a rehabilitation device.
8. A system comprising:
- a memory device storing instructions; and
- a remote processor communicatively coupled to the memory device, wherein the remote processor executes the instructions to: receive a map packet; receive at least two continuity packets, wherein each comprises a contiguous portion of data, wherein: another processor generates the map packet and uses data received by an electromechanical device to generate the at least two continuity packets, and the remote processor receives the at least two continuity packets in an initial order; and generate, using the map packet, an output file in real-time or near real-time, wherein: the remote processor generates the output file by ordering the at least two continuity packets from the initial order into an output order, wherein the output order is one of the same order as the initial order or a reordering of the initial order.
9. The system of claim 8, wherein one or more of the at least two continuity packets comprise header information.
10. The system of claim 9, wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
11. The system of claim 8, wherein each of the at least two continuity packets comprises header information.
12. The system of claim 9, wherein the map packet comprises end-of-file information.
13. The system of claim 8, wherein header information of an end-of-file continuity packet comprises an end tag corresponding to a contiguous portion of end-of-file information in the map packet.
14. The system of claim 8, wherein the electromechanical device comprises a rehabilitation device.
15. A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a remote processor to:
- receive a map packet;
- receive at least two continuity packets, wherein each comprises a contiguous portion of data, wherein: another processor generates the map packet and uses data received by an electromechanical device to generate the at least two continuity packets, and the remote processor receives the at least two continuity packets in an initial order; and generate, using the map packet, an output file in real-time or near real-time, wherein: the remote processor generates the output file by ordering the at least two continuity packets from the initial order into an output order, wherein the output order is one of the same order as the initial order or a reordering of the initial order.
16. The computer-readable medium of claim 15, wherein one or more of the at least two continuity packets comprise header information.
17. The computer-readable medium of claim 16, wherein a contiguous portion of the map packet corresponds to a contiguous portion of the header information.
18. The computer-readable medium of claim 15, wherein each of the at least two continuity packets comprises header information.
| 823712 | June 1906 | Uhlmann |
| 4499900 | February 19, 1985 | Petrofsky et al. |
| 4822032 | April 18, 1989 | Whitmore et al. |
| 4860763 | August 29, 1989 | Schminke |
| 4869497 | September 26, 1989 | Stewart et al. |
| 4932650 | June 12, 1990 | Bingham et al. |
| 5137501 | August 11, 1992 | Mertesdorf |
| 5161430 | November 10, 1992 | Febey |
| 5202794 | April 13, 1993 | Schnee et al. |
| 5240417 | August 31, 1993 | Smithson et al. |
| 5247853 | September 28, 1993 | Dalebout |
| 5256117 | October 26, 1993 | Potts et al. |
| D342299 | December 14, 1993 | Birrell et al. |
| 5282748 | February 1, 1994 | Little |
| 5284131 | February 8, 1994 | Gray |
| 5316532 | May 31, 1994 | Butler |
| 5318487 | June 7, 1994 | Golen |
| 5324241 | June 28, 1994 | Artigues et al. |
| 5336147 | August 9, 1994 | Sweeney, III |
| 5338272 | August 16, 1994 | Sweeney, III |
| 5356356 | October 18, 1994 | Hildebrandt |
| 5361649 | November 8, 1994 | Slocum, Jr. |
| D359777 | June 27, 1995 | Hildebrandt |
| 5429140 | July 4, 1995 | Burdea et al. |
| 5458022 | October 17, 1995 | Mattfeld et al. |
| 5487713 | January 30, 1996 | Butler |
| 5566589 | October 22, 1996 | Buck |
| 5580338 | December 3, 1996 | Scelta et al. |
| 5676349 | October 14, 1997 | Wilson |
| 5685804 | November 11, 1997 | Whan-Tong et al. |
| 5738636 | April 14, 1998 | Saringer et al. |
| 5860941 | January 19, 1999 | Saringer et al. |
| 5950813 | September 14, 1999 | Hoskins et al. |
| 6007459 | December 28, 1999 | Burgess |
| D421075 | February 22, 2000 | Hildebrandt |
| 6053847 | April 25, 2000 | Stearns et al. |
| 6077201 | June 20, 2000 | Cheng |
| 6102834 | August 15, 2000 | Chen |
| 6110130 | August 29, 2000 | Kramer |
| 6155958 | December 5, 2000 | Goldberg |
| 6162189 | December 19, 2000 | Girone et al. |
| 6182029 | January 30, 2001 | Friedman |
| D438580 | March 6, 2001 | Shaw |
| 6253638 | July 3, 2001 | Bermudez |
| 6267735 | July 31, 2001 | Blanchard et al. |
| 6273863 | August 14, 2001 | Avni et al. |
| D450100 | November 6, 2001 | Hsu |
| D450101 | November 6, 2001 | Hsu |
| D451972 | December 11, 2001 | Easley |
| D452285 | December 18, 2001 | Easley |
| D454605 | March 19, 2002 | Lee |
| 6371891 | April 16, 2002 | Speas |
| D459776 | July 2, 2002 | Lee |
| 6413190 | July 2, 2002 | Wood et al. |
| 6430436 | August 6, 2002 | Richter |
| 6436058 | August 20, 2002 | Krahner et al. |
| 6450923 | September 17, 2002 | Vatti |
| 6474193 | November 5, 2002 | Farney |
| 6491649 | December 10, 2002 | Ombrellaro |
| 6514085 | February 4, 2003 | Slattery et al. |
| 6535861 | March 18, 2003 | OConnor et al. |
| 6543309 | April 8, 2003 | Heim |
| 6589139 | July 8, 2003 | Butterworth |
| 6601016 | July 29, 2003 | Brown et al. |
| 6602191 | August 5, 2003 | Quy |
| 6613000 | September 2, 2003 | Reinkensmeyer et al. |
| 6626800 | September 30, 2003 | Casler |
| 6626805 | September 30, 2003 | Lightbody |
| 6640122 | October 28, 2003 | Manoli |
| 6640662 | November 4, 2003 | Baxter |
| 6652425 | November 25, 2003 | Martin et al. |
| 6820517 | November 23, 2004 | Farney |
| 6865969 | March 15, 2005 | Stevens |
| 6890312 | May 10, 2005 | Priester et al. |
| 6895834 | May 24, 2005 | Baatz |
| 6902513 | June 7, 2005 | McClure |
| 7058453 | June 6, 2006 | Nelson et al. |
| 7063643 | June 20, 2006 | Arai |
| 7156665 | January 2, 2007 | OConnor et al. |
| 7156780 | January 2, 2007 | Fuchs et al. |
| 7169085 | January 30, 2007 | Killin et al. |
| 7204788 | April 17, 2007 | Andrews |
| 7209886 | April 24, 2007 | Kimmel |
| 7226394 | June 5, 2007 | Johnson |
| RE39904 | October 30, 2007 | Lee |
| 7406003 | July 29, 2008 | Burkhardt et al. |
| 7507188 | March 24, 2009 | Nurre |
| 7594879 | September 29, 2009 | Johnson |
| 7628730 | December 8, 2009 | Watterson et al. |
| D610635 | February 23, 2010 | Hildebrandt |
| 7778851 | August 17, 2010 | Schoenberg et al. |
| 7809601 | October 5, 2010 | Shaya et al. |
| 7815551 | October 19, 2010 | Merli |
| 7833135 | November 16, 2010 | Radow et al. |
| 7837472 | November 23, 2010 | Elsmore et al. |
| 7955219 | June 7, 2011 | Birrell et al. |
| 7969315 | June 28, 2011 | Ross et al. |
| 7988599 | August 2, 2011 | Ainsworth et al. |
| 8012107 | September 6, 2011 | Einav et al. |
| 8021270 | September 20, 2011 | D'Eredita |
| 8038578 | October 18, 2011 | Olrik et al. |
| 8079937 | December 20, 2011 | Bedell et al. |
| 8113991 | February 14, 2012 | Kutliroff |
| 8172724 | May 8, 2012 | Solomon |
| 8177732 | May 15, 2012 | Einav et al. |
| 8287434 | October 16, 2012 | Zavadsky et al. |
| 8298123 | October 30, 2012 | Hickman |
| 8371990 | February 12, 2013 | Shea |
| 8419593 | April 16, 2013 | Ainsworth et al. |
| 8465398 | June 18, 2013 | Lee et al. |
| 8506458 | August 13, 2013 | Dugan |
| 8515777 | August 20, 2013 | Rajasenan |
| 8540515 | September 24, 2013 | Williams et al. |
| 8540516 | September 24, 2013 | Williams et al. |
| 8556778 | October 15, 2013 | Dugan |
| 8607465 | December 17, 2013 | Edwards |
| 8613689 | December 24, 2013 | Dyer et al. |
| 8615529 | December 24, 2013 | Reiner |
| 8672812 | March 18, 2014 | Dugan |
| 8751264 | June 10, 2014 | Beraja et al. |
| 8784273 | July 22, 2014 | Dugan |
| 8818496 | August 26, 2014 | Dziubinski et al. |
| 8823448 | September 2, 2014 | Shen |
| 8845493 | September 30, 2014 | Watterson et al. |
| 8849681 | September 30, 2014 | Hargrove et al. |
| 8864628 | October 21, 2014 | Boyette et al. |
| 8893287 | November 18, 2014 | Gjonej et al. |
| 8911327 | December 16, 2014 | Boyette |
| 8979711 | March 17, 2015 | Dugan |
| 9004598 | April 14, 2015 | Weber |
| 9044630 | June 2, 2015 | Lampert et al. |
| 9167281 | October 20, 2015 | Petrov et al. |
| D744050 | November 24, 2015 | Colburn |
| 9248071 | February 2, 2016 | Benda et al. |
| 9272185 | March 1, 2016 | Dugan |
| 9283434 | March 15, 2016 | Wu |
| 9295878 | March 29, 2016 | Corbalis et al. |
| 9311789 | April 12, 2016 | Gwin |
| 9312907 | April 12, 2016 | Auchinleck et al. |
| 9367668 | June 14, 2016 | Flynt et al. |
| 9409054 | August 9, 2016 | Dugan |
| 9443205 | September 13, 2016 | Wall |
| 9474935 | October 25, 2016 | Abbondanza et al. |
| 9480873 | November 1, 2016 | Chuang |
| 9481428 | November 1, 2016 | Gros et al. |
| 9514277 | December 6, 2016 | Hassing et al. |
| 9566472 | February 14, 2017 | Dugan |
| 9579056 | February 28, 2017 | Rosenbek et al. |
| 9629558 | April 25, 2017 | Yuen et al. |
| 9640057 | May 2, 2017 | Ross |
| 9707147 | July 18, 2017 | Levital et al. |
| 9713744 | July 25, 2017 | Suzuki |
| D794142 | August 8, 2017 | Zhou |
| 9717947 | August 1, 2017 | Lin |
| 9737761 | August 22, 2017 | Govindarajan |
| 9757612 | September 12, 2017 | Weber |
| 9782621 | October 10, 2017 | Chiang et al. |
| 9802076 | October 31, 2017 | Murray et al. |
| 9802081 | October 31, 2017 | Ridgel et al. |
| 9813239 | November 7, 2017 | Chee et al. |
| 9827445 | November 28, 2017 | Marcos et al. |
| 9849337 | December 26, 2017 | Roman et al. |
| 9868028 | January 16, 2018 | Shin |
| 9872087 | January 16, 2018 | DelloStritto et al. |
| 9872637 | January 23, 2018 | Kording et al. |
| 9914053 | March 13, 2018 | Dugan |
| 9919198 | March 20, 2018 | Romeo et al. |
| 9937382 | April 10, 2018 | Dugan |
| 9939784 | April 10, 2018 | Berardinelli |
| 9977587 | May 22, 2018 | Mountain |
| 9993181 | June 12, 2018 | Ross |
| 9997082 | June 12, 2018 | Kaleal |
| 10004946 | June 26, 2018 | Ross |
| 10026052 | July 17, 2018 | Brown et al. |
| D826349 | August 21, 2018 | Oblamski |
| 10055550 | August 21, 2018 | Goetz |
| 10058473 | August 28, 2018 | Oshima et al. |
| 10074148 | September 11, 2018 | Cashman et al. |
| 10089443 | October 2, 2018 | Miller et al. |
| 10111643 | October 30, 2018 | Shulhauser et al. |
| 10130311 | November 20, 2018 | De Sapio et al. |
| 10137328 | November 27, 2018 | Baudhuin |
| 10143395 | December 4, 2018 | Chakravarthy et al. |
| 10155134 | December 18, 2018 | Dugan |
| 10159872 | December 25, 2018 | Sasaki et al. |
| 10173094 | January 8, 2019 | Gomberg et al. |
| 10173095 | January 8, 2019 | Gomberg et al. |
| 10173096 | January 8, 2019 | Gomberg et al. |
| 10173097 | January 8, 2019 | Gomberg et al. |
| 10198928 | February 5, 2019 | Ross et al. |
| 10226663 | March 12, 2019 | Gomberg et al. |
| 10231664 | March 19, 2019 | Ganesh |
| 10244990 | April 2, 2019 | Hu et al. |
| 10258823 | April 16, 2019 | Cole |
| 10322315 | June 18, 2019 | Foley et al. |
| 10325070 | June 18, 2019 | Beale et al. |
| 10327697 | June 25, 2019 | Stein et al. |
| 10369021 | August 6, 2019 | Zoss et al. |
| 10380866 | August 13, 2019 | Ross et al. |
| 10413222 | September 17, 2019 | Kayyali |
| 10413238 | September 17, 2019 | Cooper |
| 10424033 | September 24, 2019 | Romeo |
| 10430552 | October 1, 2019 | Mihai |
| D866957 | November 19, 2019 | Ross et al. |
| 10468131 | November 5, 2019 | Macoviak et al. |
| 10475323 | November 12, 2019 | Ross |
| 10475537 | November 12, 2019 | Purdie et al. |
| 10492977 | December 3, 2019 | Kapure et al. |
| 10507358 | December 17, 2019 | Kinnunen et al. |
| 10542914 | January 28, 2020 | Forth et al. |
| 10546467 | January 28, 2020 | Luciano, Jr. et al. |
| 10569122 | February 25, 2020 | Johnson |
| 10572626 | February 25, 2020 | Balram |
| 10576331 | March 3, 2020 | Kuo |
| 10581896 | March 3, 2020 | Nachenberg |
| 10625114 | April 21, 2020 | Ercanbrack |
| 10646746 | May 12, 2020 | Gomberg et al. |
| 10660534 | May 26, 2020 | Lee et al. |
| 10678890 | June 9, 2020 | Bitran et al. |
| 10685092 | June 16, 2020 | Paparella et al. |
| 10777200 | September 15, 2020 | Will et al. |
| D899605 | October 20, 2020 | Ross et al. |
| 10792495 | October 6, 2020 | Izvorski et al. |
| 10814170 | October 27, 2020 | Wang et al. |
| 10857426 | December 8, 2020 | Neumann |
| 10867695 | December 15, 2020 | Neagle |
| 10874905 | December 29, 2020 | Belson et al. |
| D907143 | January 5, 2021 | Ach et al. |
| 10881911 | January 5, 2021 | Kwon et al. |
| 10918332 | February 16, 2021 | Belson et al. |
| 10931643 | February 23, 2021 | Neumann |
| 10987176 | April 27, 2021 | Poltaretskyi et al. |
| 10991463 | April 27, 2021 | Kutzko et al. |
| 11000735 | May 11, 2021 | Orady et al. |
| 11045709 | June 29, 2021 | Putnam |
| 11065170 | July 20, 2021 | Yang et al. |
| 11065527 | July 20, 2021 | Putnam |
| 11069436 | July 20, 2021 | Mason et al. |
| 11071597 | July 27, 2021 | Posnack et al. |
| 11075000 | July 27, 2021 | Mason et al. |
| D928635 | August 24, 2021 | Hacking et al. |
| 11087865 | August 10, 2021 | Mason et al. |
| 11094400 | August 17, 2021 | Riley et al. |
| 11101028 | August 24, 2021 | Mason et al. |
| 11107591 | August 31, 2021 | Mason |
| 11139060 | October 5, 2021 | Mason et al. |
| 11185735 | November 30, 2021 | Am et al. |
| 11185738 | November 30, 2021 | McKirdy et al. |
| D939096 | December 21, 2021 | Lee |
| D939644 | December 28, 2021 | Ach et al. |
| D940797 | January 11, 2022 | Ach et al. |
| D940891 | January 11, 2022 | Lee |
| 11229727 | January 25, 2022 | Tatonetti |
| 11265234 | March 1, 2022 | Guaneri |
| 11270795 | March 8, 2022 | Mason et al. |
| 11272879 | March 15, 2022 | Wiedenhoefer et al. |
| 11278766 | March 22, 2022 | Lee |
| 11282599 | March 22, 2022 | Mason et al. |
| 11282604 | March 22, 2022 | Mason et al. |
| 11282608 | March 22, 2022 | Mason et al. |
| 11284797 | March 29, 2022 | Mason et al. |
| D948639 | April 12, 2022 | Ach et al. |
| 11295848 | April 5, 2022 | Mason et al. |
| 11298284 | April 12, 2022 | Bayerlein |
| 11309085 | April 19, 2022 | Mason et al. |
| 11317975 | May 3, 2022 | Mason et al. |
| 11325005 | May 10, 2022 | Mason et al. |
| 11328807 | May 10, 2022 | Mason et al. |
| 11337648 | May 24, 2022 | Mason |
| 11347829 | May 31, 2022 | Sclar et al. |
| 11348683 | May 31, 2022 | Guaneri et al. |
| 11376470 | July 5, 2022 | Weldemariam |
| 11404150 | August 2, 2022 | Guaneri et al. |
| 11410768 | August 9, 2022 | Mason et al. |
| 11422841 | August 23, 2022 | Jeong |
| 11437137 | September 6, 2022 | Harris |
| 11495355 | November 8, 2022 | McNutt et al. |
| 11508258 | November 22, 2022 | Nakashima et al. |
| 11508482 | November 22, 2022 | Mason et al. |
| 11515021 | November 29, 2022 | Mason |
| 11515028 | November 29, 2022 | Mason |
| 11524210 | December 13, 2022 | Kim et al. |
| 11527326 | December 13, 2022 | McNair et al. |
| 11532402 | December 20, 2022 | Farley et al. |
| 11534654 | December 27, 2022 | Silcock et al. |
| D976339 | January 24, 2023 | Li |
| 11541274 | January 3, 2023 | Hacking |
| 11553969 | January 17, 2023 | Lang et al. |
| 11621067 | April 4, 2023 | Nolan |
| 11636944 | April 25, 2023 | Hanrahan et al. |
| 11654327 | May 23, 2023 | Phillips et al. |
| 11663673 | May 30, 2023 | Pyles |
| 11701548 | July 18, 2023 | Posnack et al. |
| 11957960 | April 16, 2024 | Bissonnette et al. |
| 12057210 | August 6, 2024 | Akinola et al. |
| 12205704 | January 21, 2025 | Hosoi et al. |
| 20010044573 | November 22, 2001 | Manoli |
| 20020010596 | January 24, 2002 | Matory |
| 20020072452 | June 13, 2002 | Torkelson |
| 20020143279 | October 3, 2002 | Porter et al. |
| 20020160883 | October 31, 2002 | Dugan |
| 20020183599 | December 5, 2002 | Castellanos |
| 20030013072 | January 16, 2003 | Thomas |
| 20030036683 | February 20, 2003 | Kehr et al. |
| 20030064860 | April 3, 2003 | Yamashita et al. |
| 20030064863 | April 3, 2003 | Chen |
| 20030083596 | May 1, 2003 | Kramer et al. |
| 20030092536 | May 15, 2003 | Romanelli et al. |
| 20030181832 | September 25, 2003 | Carnahan et al. |
| 20040072652 | April 15, 2004 | Alessandri et al. |
| 20040102931 | May 27, 2004 | Ellis et al. |
| 20040106502 | June 3, 2004 | Sher |
| 20040147969 | July 29, 2004 | Mann et al. |
| 20040172093 | September 2, 2004 | Rummerfield |
| 20040194572 | October 7, 2004 | Kim |
| 20040197727 | October 7, 2004 | Sachdeva et al. |
| 20040204959 | October 14, 2004 | Moreano et al. |
| 20050015118 | January 20, 2005 | Davis et al. |
| 20050020411 | January 27, 2005 | Andrews |
| 20050043153 | February 24, 2005 | Krietzman |
| 20050049122 | March 3, 2005 | Vallone et al. |
| 20050085346 | April 21, 2005 | Johnson |
| 20050085353 | April 21, 2005 | Johnson |
| 20050115561 | June 2, 2005 | Stahmann |
| 20050143641 | June 30, 2005 | Tashiro |
| 20050274220 | December 15, 2005 | Reboullet |
| 20060003871 | January 5, 2006 | Houghton et al. |
| 20060046905 | March 2, 2006 | Doody et al. |
| 20060058648 | March 16, 2006 | Meier |
| 20060064136 | March 23, 2006 | Wang |
| 20060064329 | March 23, 2006 | Abolfathi et al. |
| 20060129432 | June 15, 2006 | Choi et al. |
| 20060199700 | September 7, 2006 | LaStayo et al. |
| 20060247095 | November 2, 2006 | Rummerfield |
| 20070042868 | February 22, 2007 | Fisher et al. |
| 20070118389 | May 24, 2007 | Shipon |
| 20070137307 | June 21, 2007 | Gruben et al. |
| 20070173392 | July 26, 2007 | Stanford |
| 20070184414 | August 9, 2007 | Perez |
| 20070194939 | August 23, 2007 | Alvarez et al. |
| 20070219059 | September 20, 2007 | Schwartz |
| 20070271065 | November 22, 2007 | Gupta et al. |
| 20070287597 | December 13, 2007 | Cameron |
| 20080021834 | January 24, 2008 | Holla et al. |
| 20080077619 | March 27, 2008 | Gilley et al. |
| 20080082356 | April 3, 2008 | Friedlander et al. |
| 20080096726 | April 24, 2008 | Riley et al. |
| 20080153592 | June 26, 2008 | James-Herbert |
| 20080161166 | July 3, 2008 | Lo |
| 20080161733 | July 3, 2008 | Einav et al. |
| 20080183500 | July 31, 2008 | Banigan |
| 20080281633 | November 13, 2008 | Burdea et al. |
| 20080300914 | December 4, 2008 | Karkanias et al. |
| 20090011907 | January 8, 2009 | Radow et al. |
| 20090058635 | March 5, 2009 | LaLonde et al. |
| 20090070138 | March 12, 2009 | Langheier et al. |
| 20090211395 | August 27, 2009 | Mule |
| 20090270227 | October 29, 2009 | Ashby et al. |
| 20090287503 | November 19, 2009 | Angell et al. |
| 20090299766 | December 3, 2009 | Friedlander et al. |
| 20100048358 | February 25, 2010 | Tchao et al. |
| 20100076786 | March 25, 2010 | Dalton et al. |
| 20100121160 | May 13, 2010 | Stark et al. |
| 20100173747 | July 8, 2010 | Chen et al. |
| 20100216168 | August 26, 2010 | Heinzman et al. |
| 20100234184 | September 16, 2010 | Le Page et al. |
| 20100248899 | September 30, 2010 | Bedell et al. |
| 20100248905 | September 30, 2010 | Lu |
| 20100262052 | October 14, 2010 | Lunau et al. |
| 20100268304 | October 21, 2010 | Matos |
| 20100298102 | November 25, 2010 | Bosecker et al. |
| 20100326207 | December 30, 2010 | Topel |
| 20110010188 | January 13, 2011 | Yoshikawa et al. |
| 20110047108 | February 24, 2011 | Chakrabarty et al. |
| 20110119212 | May 19, 2011 | De Bruin et al. |
| 20110172059 | July 14, 2011 | Watterson et al. |
| 20110195819 | August 11, 2011 | Shaw et al. |
| 20110218814 | September 8, 2011 | Coats |
| 20110275483 | November 10, 2011 | Dugan |
| 20110281249 | November 17, 2011 | Gammell et al. |
| 20110306846 | December 15, 2011 | Osorio |
| 20120041771 | February 16, 2012 | Cosentino et al. |
| 20120065987 | March 15, 2012 | Farooq et al. |
| 20120116258 | May 10, 2012 | Lee |
| 20120130196 | May 24, 2012 | Jain et al. |
| 20120130197 | May 24, 2012 | Kugler et al. |
| 20120167709 | July 5, 2012 | Chen et al. |
| 20120183939 | July 19, 2012 | Aragones et al. |
| 20120190502 | July 26, 2012 | Paulus et al. |
| 20120232438 | September 13, 2012 | Cataldi et al. |
| 20120259648 | October 11, 2012 | Mallon et al. |
| 20120259649 | October 11, 2012 | Mallon et al. |
| 20120278759 | November 1, 2012 | Curl et al. |
| 20120295240 | November 22, 2012 | Walker et al. |
| 20120296455 | November 22, 2012 | Ohnemus et al. |
| 20120310667 | December 6, 2012 | Altman et al. |
| 20130108594 | May 2, 2013 | Martin-Rendon et al. |
| 20130110545 | May 2, 2013 | Smallwood |
| 20130123071 | May 16, 2013 | Rhea |
| 20130123667 | May 16, 2013 | Komatireddy et al. |
| 20130137550 | May 30, 2013 | Skinner et al. |
| 20130137552 | May 30, 2013 | Kemp et al. |
| 20130178334 | July 11, 2013 | Brammer |
| 20130211281 | August 15, 2013 | Ross et al. |
| 20130253943 | September 26, 2013 | Lee et al. |
| 20130274069 | October 17, 2013 | Watterson et al. |
| 20130296987 | November 7, 2013 | Rogers et al. |
| 20130318027 | November 28, 2013 | Almogy et al. |
| 20130332616 | December 12, 2013 | Landwehr |
| 20130345025 | December 26, 2013 | van der Merwe |
| 20140006042 | January 2, 2014 | Keefe et al. |
| 20140011640 | January 9, 2014 | Dugan |
| 20140031174 | January 30, 2014 | Huang |
| 20140062900 | March 6, 2014 | Kaula et al. |
| 20140074179 | March 13, 2014 | Heldman et al. |
| 20140089836 | March 27, 2014 | Damani et al. |
| 20140113261 | April 24, 2014 | Akiba |
| 20140113768 | April 24, 2014 | Lin et al. |
| 20140155129 | June 5, 2014 | Dugan |
| 20140163439 | June 12, 2014 | Uryash et al. |
| 20140172442 | June 19, 2014 | Broderick |
| 20140172460 | June 19, 2014 | Kohli |
| 20140172514 | June 19, 2014 | Schumann et al. |
| 20140188009 | July 3, 2014 | Lange et al. |
| 20140194250 | July 10, 2014 | Reich et al. |
| 20140194251 | July 10, 2014 | Reich et al. |
| 20140207264 | July 24, 2014 | Quy |
| 20140207486 | July 24, 2014 | Carty et al. |
| 20140228649 | August 14, 2014 | Rayner et al. |
| 20140246499 | September 4, 2014 | Proud et al. |
| 20140256511 | September 11, 2014 | Smith |
| 20140257837 | September 11, 2014 | Walker et al. |
| 20140274565 | September 18, 2014 | Boyette et al. |
| 20140274622 | September 18, 2014 | Leonhard |
| 20140303540 | October 9, 2014 | Baym |
| 20140309083 | October 16, 2014 | Dugan |
| 20140322686 | October 30, 2014 | Kang |
| 20140347265 | November 27, 2014 | Aimone et al. |
| 20140371816 | December 18, 2014 | Matos |
| 20140372133 | December 18, 2014 | Austrum et al. |
| 20150025816 | January 22, 2015 | Ross |
| 20150045700 | February 12, 2015 | Cavanagh et al. |
| 20150051721 | February 19, 2015 | Cheng |
| 20150065213 | March 5, 2015 | Dugan |
| 20150073814 | March 12, 2015 | Linebaugh |
| 20150088544 | March 26, 2015 | Goldberg |
| 20150094192 | April 2, 2015 | Skwortsow et al. |
| 20150099458 | April 9, 2015 | Weisner et al. |
| 20150099952 | April 9, 2015 | Lain et al. |
| 20150111644 | April 23, 2015 | Larson |
| 20150112230 | April 23, 2015 | Iglesias |
| 20150112702 | April 23, 2015 | Joao et al. |
| 20150130830 | May 14, 2015 | Nagasaki |
| 20150141200 | May 21, 2015 | Murray et al. |
| 20150142142 | May 21, 2015 | Campana Aguilera et al. |
| 20150149217 | May 28, 2015 | Kaburagi |
| 20150151162 | June 4, 2015 | Dugan |
| 20150157938 | June 11, 2015 | Domansky et al. |
| 20150161331 | June 11, 2015 | Oleynik |
| 20150161876 | June 11, 2015 | Castillo |
| 20150174446 | June 25, 2015 | Chiang |
| 20150196805 | July 16, 2015 | Koduri |
| 20150217056 | August 6, 2015 | Kadavy et al. |
| 20150251074 | September 10, 2015 | Ahmed et al. |
| 20150257679 | September 17, 2015 | Ross |
| 20150265209 | September 24, 2015 | Zhang |
| 20150290061 | October 15, 2015 | Stafford et al. |
| 20150339442 | November 26, 2015 | Oleynik |
| 20150341812 | November 26, 2015 | Dion et al. |
| 20150351664 | December 10, 2015 | Ross |
| 20150351665 | December 10, 2015 | Ross |
| 20150360069 | December 17, 2015 | Marti et al. |
| 20150379232 | December 31, 2015 | Mainwaring et al. |
| 20150379430 | December 31, 2015 | Dirac et al. |
| 20160004820 | January 7, 2016 | Moore |
| 20160007885 | January 14, 2016 | Basta et al. |
| 20160015995 | January 21, 2016 | Leung et al. |
| 20160023081 | January 28, 2016 | Popa-Simil et al. |
| 20160045170 | February 18, 2016 | Migita |
| 20160096073 | April 7, 2016 | Rahman et al. |
| 20160117471 | April 28, 2016 | Belt et al. |
| 20160132643 | May 12, 2016 | Radhakrishna et al. |
| 20160140319 | May 19, 2016 | Stark |
| 20160143593 | May 26, 2016 | Fu et al. |
| 20160151670 | June 2, 2016 | Dugan |
| 20160158534 | June 9, 2016 | Guarraia et al. |
| 20160166833 | June 16, 2016 | Bum |
| 20160166881 | June 16, 2016 | Ridgel et al. |
| 20160193306 | July 7, 2016 | Rabovsky et al. |
| 20160197918 | July 7, 2016 | Turgeman et al. |
| 20160213924 | July 28, 2016 | Coleman |
| 20160275259 | September 22, 2016 | Nolan et al. |
| 20160287166 | October 6, 2016 | Tran |
| 20160302666 | October 20, 2016 | Shaya |
| 20160302721 | October 20, 2016 | Wiedenhoefer et al. |
| 20160317869 | November 3, 2016 | Dugan |
| 20160322078 | November 3, 2016 | Bose et al. |
| 20160325140 | November 10, 2016 | Wu |
| 20160332028 | November 17, 2016 | Melnik |
| 20160345841 | December 1, 2016 | Jang et al. |
| 20160354636 | December 8, 2016 | Jang |
| 20160361025 | December 15, 2016 | Reicher et al. |
| 20160361597 | December 15, 2016 | Cole et al. |
| 20160373477 | December 22, 2016 | Moyle |
| 20170004260 | January 5, 2017 | Moturu et al. |
| 20170011179 | January 12, 2017 | Arshad et al. |
| 20170032092 | February 2, 2017 | Mink et al. |
| 20170033375 | February 2, 2017 | Ohmori et al. |
| 20170042467 | February 16, 2017 | Herr et al. |
| 20170046488 | February 16, 2017 | Pereira |
| 20170065851 | March 9, 2017 | Deluca et al. |
| 20170080320 | March 23, 2017 | Smith |
| 20170091422 | March 30, 2017 | Kumar et al. |
| 20170095670 | April 6, 2017 | Ghaffari et al. |
| 20170095692 | April 6, 2017 | Chang et al. |
| 20170095693 | April 6, 2017 | Chang et al. |
| 20170100637 | April 13, 2017 | Princen et al. |
| 20170106242 | April 20, 2017 | Dugan |
| 20170113092 | April 27, 2017 | Johnson |
| 20170128769 | May 11, 2017 | Long et al. |
| 20170132947 | May 11, 2017 | Maeda et al. |
| 20170136296 | May 18, 2017 | Barrera et al. |
| 20170143261 | May 25, 2017 | Wiedenhoefer et al. |
| 20170147752 | May 25, 2017 | Toru |
| 20170147789 | May 25, 2017 | Wiedenhoefer et al. |
| 20170148297 | May 25, 2017 | Ross |
| 20170168555 | June 15, 2017 | Munoz et al. |
| 20170181698 | June 29, 2017 | Wiedenhoefer et al. |
| 20170190052 | July 6, 2017 | Jaekel et al. |
| 20170202724 | July 20, 2017 | De Rossi |
| 20170209766 | July 27, 2017 | Riley et al. |
| 20170220751 | August 3, 2017 | Davis |
| 20170228517 | August 10, 2017 | Saliman et al. |
| 20170235882 | August 17, 2017 | Orlov et al. |
| 20170235906 | August 17, 2017 | Dorris et al. |
| 20170243028 | August 24, 2017 | LaFever et al. |
| 20170258370 | September 14, 2017 | Plotnik-Peleg et al. |
| 20170262604 | September 14, 2017 | Francois |
| 20170265800 | September 21, 2017 | Auchinleck et al. |
| 20170266501 | September 21, 2017 | Sanders et al. |
| 20170270260 | September 21, 2017 | Shetty |
| 20170278209 | September 28, 2017 | Olsen et al. |
| 20170282015 | October 5, 2017 | Wicks et al. |
| 20170283508 | October 5, 2017 | Demopulos et al. |
| 20170286621 | October 5, 2017 | Cox |
| 20170296861 | October 19, 2017 | Burkinshaw |
| 20170300654 | October 19, 2017 | Stein et al. |
| 20170304024 | October 26, 2017 | Nobrega |
| 20170312614 | November 2, 2017 | Tran et al. |
| 20170323481 | November 9, 2017 | Tran et al. |
| 20170329917 | November 16, 2017 | McRaith et al. |
| 20170329933 | November 16, 2017 | Brust |
| 20170333755 | November 23, 2017 | Rider |
| 20170337033 | November 23, 2017 | Duyan et al. |
| 20170337334 | November 23, 2017 | Stanczak |
| 20170344726 | November 30, 2017 | Duffy et al. |
| 20170347923 | December 7, 2017 | Roh |
| 20170360586 | December 21, 2017 | Dempers et al. |
| 20170368413 | December 28, 2017 | Shavit |
| 20180017806 | January 18, 2018 | Wang et al. |
| 20180036591 | February 8, 2018 | King et al. |
| 20180036593 | February 8, 2018 | Ridgel et al. |
| 20180052962 | February 22, 2018 | Van Der Koijk et al. |
| 20180056104 | March 1, 2018 | Cromie et al. |
| 20180056130 | March 1, 2018 | Bitran et al. |
| 20180060494 | March 1, 2018 | Dias et al. |
| 20180071565 | March 15, 2018 | Gomberg et al. |
| 20180071566 | March 15, 2018 | Gomberg et al. |
| 20180071569 | March 15, 2018 | Gomberg et al. |
| 20180071570 | March 15, 2018 | Gomberg et al. |
| 20180071571 | March 15, 2018 | Gomberg et al. |
| 20180071572 | March 15, 2018 | Gomberg et al. |
| 20180075205 | March 15, 2018 | Moturu et al. |
| 20180078843 | March 22, 2018 | Tran et al. |
| 20180085615 | March 29, 2018 | Astolfi et al. |
| 20180096111 | April 5, 2018 | Wells et al. |
| 20180099178 | April 12, 2018 | Schaefer et al. |
| 20180102190 | April 12, 2018 | Hogue et al. |
| 20180113985 | April 26, 2018 | Gandy et al. |
| 20180116741 | May 3, 2018 | Garcia Kilroy et al. |
| 20180117417 | May 3, 2018 | Davis |
| 20180130555 | May 10, 2018 | Chronis et al. |
| 20180140927 | May 24, 2018 | Kito |
| 20180146870 | May 31, 2018 | Shemesh |
| 20180177612 | June 28, 2018 | Trabish et al. |
| 20180178061 | June 28, 2018 | O'larte et al. |
| 20180199855 | July 19, 2018 | Odame et al. |
| 20180200577 | July 19, 2018 | Dugan |
| 20180220935 | August 9, 2018 | Tadano et al. |
| 20180228682 | August 16, 2018 | Bayerlein et al. |
| 20180232492 | August 16, 2018 | Al-Alul et al. |
| 20180236307 | August 23, 2018 | Hyde et al. |
| 20180240552 | August 23, 2018 | Tuyl et al. |
| 20180253991 | September 6, 2018 | Tang et al. |
| 20180255110 | September 6, 2018 | Dowlatkhah et al. |
| 20180256079 | September 13, 2018 | Yang et al. |
| 20180263530 | September 20, 2018 | Jung |
| 20180263535 | September 20, 2018 | Cramer |
| 20180263552 | September 20, 2018 | Graman et al. |
| 20180264312 | September 20, 2018 | Pompile et al. |
| 20180271432 | September 27, 2018 | Auchinleck et al. |
| 20180272184 | September 27, 2018 | Vassilaros et al. |
| 20180280784 | October 4, 2018 | Romeo et al. |
| 20180296143 | October 18, 2018 | Anderson et al. |
| 20180296157 | October 18, 2018 | Bleich et al. |
| 20180318122 | November 8, 2018 | LeCursi et al. |
| 20180326243 | November 15, 2018 | Badi et al. |
| 20180330058 | November 15, 2018 | Bates |
| 20180330810 | November 15, 2018 | Gamarnik |
| 20180330824 | November 15, 2018 | Athey et al. |
| 20180290017 | October 11, 2018 | Fung |
| 20180353812 | December 13, 2018 | Lannon et al. |
| 20180360340 | December 20, 2018 | Rehse et al. |
| 20180366225 | December 20, 2018 | Mansi |
| 20180373844 | December 27, 2018 | Ferrandez-Escamez et al. |
| 20190009135 | January 10, 2019 | Wu |
| 20190019163 | January 17, 2019 | Batey et al. |
| 20190019573 | January 17, 2019 | Lake et al. |
| 20190019578 | January 17, 2019 | Vaccaro |
| 20190030415 | January 31, 2019 | Volpe, Jr. |
| 20190031284 | January 31, 2019 | Fuchs |
| 20190046794 | February 14, 2019 | Goodall et al. |
| 20190060708 | February 28, 2019 | Fung |
| 20190065970 | February 28, 2019 | Bonutti et al. |
| 20190066832 | February 28, 2019 | Kang et al. |
| 20190076701 | March 14, 2019 | Dugan |
| 20190080802 | March 14, 2019 | Ziobro et al. |
| 20190083846 | March 21, 2019 | Eder |
| 20190088356 | March 21, 2019 | Oliver et al. |
| 20190090744 | March 28, 2019 | Mahfouz |
| 20190096534 | March 28, 2019 | Joao |
| 20190105551 | April 11, 2019 | Ray |
| 20190111299 | April 18, 2019 | Radcliffe et al. |
| 20190115097 | April 18, 2019 | Macoviak et al. |
| 20190117156 | April 25, 2019 | Howard et al. |
| 20190118038 | April 25, 2019 | Tana et al. |
| 20190126099 | May 2, 2019 | Hoang |
| 20190132948 | May 2, 2019 | Longinotti-Buitoni et al. |
| 20190134454 | May 9, 2019 | Mahoney et al. |
| 20190137988 | May 9, 2019 | Cella et al. |
| 20190143191 | May 16, 2019 | Ran et al. |
| 20190145774 | May 16, 2019 | Ellis |
| 20190163876 | May 30, 2019 | Remme et al. |
| 20190167988 | June 6, 2019 | Shahriari et al. |
| 20190172587 | June 6, 2019 | Park et al. |
| 20190175988 | June 13, 2019 | Volterrani et al. |
| 20190183715 | June 20, 2019 | Kapure et al. |
| 20190200920 | July 4, 2019 | Tien et al. |
| 20190209891 | July 11, 2019 | Fung |
| 20190214119 | July 11, 2019 | Wachira et al. |
| 20190223797 | July 25, 2019 | Tran |
| 20190224528 | July 25, 2019 | Omid-Zohoor et al. |
| 20190228856 | July 25, 2019 | Leifer |
| 20190232108 | August 1, 2019 | Kovach et al. |
| 20190240103 | August 8, 2019 | Hepler et al. |
| 20190240541 | August 8, 2019 | Denton et al. |
| 20190244540 | August 8, 2019 | Errante et al. |
| 20190251456 | August 15, 2019 | Constantin |
| 20190261959 | August 29, 2019 | Frankel |
| 20190262084 | August 29, 2019 | Roh |
| 20190269343 | September 5, 2019 | Ramos Murguialday et al. |
| 20190274523 | September 12, 2019 | Bates et al. |
| 20190275368 | September 12, 2019 | Maroldi |
| 20190304584 | October 3, 2019 | Savolainen |
| 20190307983 | October 10, 2019 | Goldman |
| 20190314681 | October 17, 2019 | Yang |
| 20190344123 | November 14, 2019 | Rubin et al. |
| 20190354632 | November 21, 2019 | Mital et al. |
| 20190362242 | November 28, 2019 | Pillai et al. |
| 20190366146 | December 5, 2019 | Tong et al. |
| 20190385199 | December 19, 2019 | Bender et al. |
| 20190388728 | December 26, 2019 | Wang et al. |
| 20190392936 | December 26, 2019 | Arric et al. |
| 20190392939 | December 26, 2019 | Basta et al. |
| 20200005928 | January 2, 2020 | Daniel |
| 20200034707 | January 30, 2020 | Kivatinos et al. |
| 20200038703 | February 6, 2020 | Cleary et al. |
| 20200051446 | February 13, 2020 | Rubinstein et al. |
| 20200066390 | February 27, 2020 | Svendrys et al. |
| 20200085300 | March 19, 2020 | Kwatra et al. |
| 20200090802 | March 19, 2020 | Maron |
| 20200093418 | March 26, 2020 | Kluger et al. |
| 20200143922 | May 7, 2020 | Chekroud et al. |
| 20200151595 | May 14, 2020 | Jayalath et al. |
| 20200151646 | May 14, 2020 | De La Fuente Sanchez |
| 20200152339 | May 14, 2020 | Pulitzer et al. |
| 20200160198 | May 21, 2020 | Reeves et al. |
| 20200170876 | June 4, 2020 | Kapure et al. |
| 20200176098 | June 4, 2020 | Lucas et al. |
| 20200197744 | June 25, 2020 | Schweighofer |
| 20200221975 | July 16, 2020 | Basta et al. |
| 20200237291 | July 30, 2020 | Raja |
| 20200237452 | July 30, 2020 | Wolf et al. |
| 20200267487 | August 20, 2020 | Siva |
| 20200275886 | September 3, 2020 | Mason |
| 20200289045 | September 17, 2020 | Hacking et al. |
| 20200289046 | September 17, 2020 | Hacking et al. |
| 20200289879 | September 17, 2020 | Hacking et al. |
| 20200289880 | September 17, 2020 | Hacking et al. |
| 20200289881 | September 17, 2020 | Hacking et al. |
| 20200289889 | September 17, 2020 | Hacking et al. |
| 20200293712 | September 17, 2020 | Potts et al. |
| 20200303063 | September 24, 2020 | Sharma et al. |
| 20200312447 | October 1, 2020 | Bohn et al. |
| 20200334972 | October 22, 2020 | Gopalakrishnan |
| 20200353314 | November 12, 2020 | Messinger |
| 20200357299 | November 12, 2020 | Patel et al. |
| 20200365256 | November 19, 2020 | Hayashitani et al. |
| 20200395112 | December 17, 2020 | Ronner |
| 20200398083 | December 24, 2020 | Al-Alul et al. |
| 20200401224 | December 24, 2020 | Cotton |
| 20200402662 | December 24, 2020 | Esmailian et al. |
| 20200410374 | December 31, 2020 | White |
| 20200410385 | December 31, 2020 | Otsuki |
| 20200411162 | December 31, 2020 | Lien et al. |
| 20210005224 | January 7, 2021 | Rothschild et al. |
| 20210005319 | January 7, 2021 | Otsuki et al. |
| 20210008413 | January 14, 2021 | Asikainen et al. |
| 20210015560 | January 21, 2021 | Boddington et al. |
| 20210027889 | January 28, 2021 | Neil et al. |
| 20210035674 | February 4, 2021 | Volosin et al. |
| 20210050086 | February 18, 2021 | Rose et al. |
| 20210065855 | March 4, 2021 | Pepin et al. |
| 20210074178 | March 11, 2021 | Ilan et al. |
| 20210076981 | March 18, 2021 | Hacking et al. |
| 20210077860 | March 18, 2021 | Posnack et al. |
| 20210077884 | March 18, 2021 | De Las Casas Zolezzi et al. |
| 20210082554 | March 18, 2021 | Kalia et al. |
| 20210093891 | April 1, 2021 | Sheng |
| 20210098129 | April 1, 2021 | Neumann |
| 20210101051 | April 8, 2021 | Posnack et al. |
| 20210113890 | April 22, 2021 | Posnack et al. |
| 20210125696 | April 29, 2021 | Liu et al. |
| 20210127974 | May 6, 2021 | Mason et al. |
| 20210128080 | May 6, 2021 | Mason et al. |
| 20210128255 | May 6, 2021 | Mason et al. |
| 20210128978 | May 6, 2021 | Gilstrom et al. |
| 20210134412 | May 6, 2021 | Guaneri et al. |
| 20210134425 | May 6, 2021 | Mason et al. |
| 20210134428 | May 6, 2021 | Mason et al. |
| 20210134430 | May 6, 2021 | Mason et al. |
| 20210134432 | May 6, 2021 | Mason et al. |
| 20210134456 | May 6, 2021 | Posnack et al. |
| 20210134457 | May 6, 2021 | Mason et al. |
| 20210134458 | May 6, 2021 | Mason et al. |
| 20210134463 | May 6, 2021 | Mason et al. |
| 20210138304 | May 13, 2021 | Mason et al. |
| 20210142875 | May 13, 2021 | Mason et al. |
| 20210142893 | May 13, 2021 | Guaneri et al. |
| 20210142898 | May 13, 2021 | Mason et al. |
| 20210142903 | May 13, 2021 | Mason et al. |
| 20210144074 | May 13, 2021 | Guaneri et al. |
| 20210186419 | June 24, 2021 | Van Ee et al. |
| 20210187348 | June 24, 2021 | Phillips et al. |
| 20210202090 | July 1, 2021 | ODonovan et al. |
| 20210202103 | July 1, 2021 | Bostic et al. |
| 20210236020 | August 5, 2021 | Matijevich et al. |
| 20210244998 | August 12, 2021 | Hacking et al. |
| 20210245003 | August 12, 2021 | Turner |
| 20210251562 | August 19, 2021 | Jain |
| 20210272677 | September 2, 2021 | Barbee |
| 20210338469 | November 4, 2021 | Dempers |
| 20210343384 | November 4, 2021 | Purushothaman et al. |
| 20210345879 | November 11, 2021 | Mason et al. |
| 20210345975 | November 11, 2021 | Mason et al. |
| 20210350888 | November 11, 2021 | Guaneri et al. |
| 20210350898 | November 11, 2021 | Mason et al. |
| 20210350899 | November 11, 2021 | Mason et al. |
| 20210350901 | November 11, 2021 | Mason et al. |
| 20210350902 | November 11, 2021 | Mason et al. |
| 20210350914 | November 11, 2021 | Guaneri et al. |
| 20210350926 | November 11, 2021 | Mason et al. |
| 20210361514 | November 25, 2021 | Choi et al. |
| 20210366587 | November 25, 2021 | Mason et al. |
| 20210383909 | December 9, 2021 | Mason et al. |
| 20210391091 | December 16, 2021 | Mason |
| 20210398668 | December 23, 2021 | Chock et al. |
| 20210407670 | December 30, 2021 | Mason et al. |
| 20210407681 | December 30, 2021 | Mason et al. |
| 20220000556 | January 6, 2022 | Casey et al. |
| 20220015838 | January 20, 2022 | Posnack et al. |
| 20220016480 | January 20, 2022 | Bissonnette et al. |
| 20220016482 | January 20, 2022 | Bissonnette |
| 20220016485 | January 20, 2022 | Bissonnette et al. |
| 20220016486 | January 20, 2022 | Bissonnette |
| 20220020469 | January 20, 2022 | Tanner |
| 20220044806 | February 10, 2022 | Sanders et al. |
| 20220047921 | February 17, 2022 | Bissonnette et al. |
| 20220079690 | March 17, 2022 | Mason et al. |
| 20220080256 | March 17, 2022 | Arn et al. |
| 20220080265 | March 17, 2022 | Watterson |
| 20220105384 | April 7, 2022 | Hacking et al. |
| 20220105385 | April 7, 2022 | Hacking et al. |
| 20220105390 | April 7, 2022 | Yuasa |
| 20220115133 | April 14, 2022 | Mason et al. |
| 20220118218 | April 21, 2022 | Bense et al. |
| 20220122724 | April 21, 2022 | Durlach et al. |
| 20220126169 | April 28, 2022 | Mason |
| 20220133576 | May 5, 2022 | Choi et al. |
| 20220148725 | May 12, 2022 | Mason et al. |
| 20220176039 | June 9, 2022 | Lintereur et al. |
| 20220181004 | June 9, 2022 | Zilca et al. |
| 20220193491 | June 23, 2022 | Mason et al. |
| 20220230729 | July 21, 2022 | Mason |
| 20220238222 | July 28, 2022 | Neuberg |
| 20220238223 | July 28, 2022 | Mason et al. |
| 20220258935 | August 18, 2022 | Kraft |
| 20220262483 | August 18, 2022 | Rosenberg et al. |
| 20220262504 | August 18, 2022 | Bratty et al. |
| 20220266094 | August 25, 2022 | Mason et al. |
| 20220270738 | August 25, 2022 | Mason et al. |
| 20220273985 | September 1, 2022 | Jeong et al. |
| 20220273986 | September 1, 2022 | Mason |
| 20220288460 | September 15, 2022 | Mason |
| 20220288461 | September 15, 2022 | Ashley et al. |
| 20220288462 | September 15, 2022 | Ashley et al. |
| 20220293257 | September 15, 2022 | Guaneri et al. |
| 20220300787 | September 22, 2022 | Wall et al. |
| 20220304881 | September 29, 2022 | Choi et al. |
| 20220304882 | September 29, 2022 | Choi |
| 20220305328 | September 29, 2022 | Choi et al. |
| 20220314072 | October 6, 2022 | Bissonnette et al. |
| 20220314075 | October 6, 2022 | Mason et al. |
| 20220323826 | October 13, 2022 | Khurana |
| 20220327714 | October 13, 2022 | Cook et al. |
| 20220327807 | October 13, 2022 | Cook et al. |
| 20220328181 | October 13, 2022 | Mason et al. |
| 20220330823 | October 20, 2022 | Janssen |
| 20220331663 | October 20, 2022 | Mason |
| 20220338761 | October 27, 2022 | Maddahi et al. |
| 20220339052 | October 27, 2022 | Kim |
| 20220339501 | October 27, 2022 | Mason et al. |
| 20220370851 | November 24, 2022 | Guidarelli et al. |
| 20220384012 | December 1, 2022 | Mason |
| 20220392591 | December 8, 2022 | Guaneri et al. |
| 20220395232 | December 15, 2022 | Locke |
| 20220401783 | December 22, 2022 | Choi |
| 20220415469 | December 29, 2022 | Mason |
| 20220415471 | December 29, 2022 | Mason |
| 20230001268 | January 5, 2023 | Bissonnette et al. |
| 20230013530 | January 19, 2023 | Mason |
| 20230014598 | January 19, 2023 | Mason et al. |
| 20230029639 | February 2, 2023 | Roy |
| 20230047253 | February 16, 2023 | Gnanasambandam et al. |
| 20230048040 | February 16, 2023 | Hacking et al. |
| 20230051751 | February 16, 2023 | Hacking et al. |
| 20230058605 | February 23, 2023 | Mason |
| 20230060039 | February 23, 2023 | Mason |
| 20230072368 | March 9, 2023 | Mason |
| 20230078793 | March 16, 2023 | Mason |
| 20230119461 | April 20, 2023 | Mason |
| 20230190100 | June 22, 2023 | Stump |
| 20230201656 | June 29, 2023 | Hacking et al. |
| 20230207097 | June 29, 2023 | Mason |
| 20230207124 | June 29, 2023 | Walsh et al. |
| 20230215539 | July 6, 2023 | Rosenberg et al. |
| 20230215552 | July 6, 2023 | Khotilovich et al. |
| 20230218950 | July 13, 2023 | Belson et al. |
| 20230245747 | August 3, 2023 | Rosenberg et al. |
| 20230245748 | August 3, 2023 | Rosenberg et al. |
| 20230245750 | August 3, 2023 | Rosenberg et al. |
| 20230245751 | August 3, 2023 | Rosenberg et al. |
| 20230253089 | August 10, 2023 | Rosenberg et al. |
| 20230255555 | August 17, 2023 | Sundaram et al. |
| 20230263428 | August 24, 2023 | Hull et al. |
| 20230274813 | August 31, 2023 | Rosenberg et al. |
| 20230282329 | September 7, 2023 | Mason et al. |
| 20230364472 | November 16, 2023 | Posnack |
| 20230368886 | November 16, 2023 | Rosenberg |
| 20230377710 | November 23, 2023 | Chen et al. |
| 20230377711 | November 23, 2023 | Rosenberg |
| 20230377712 | November 23, 2023 | Rosenberg |
| 20230386639 | November 30, 2023 | Rosenberg |
| 20230395231 | December 7, 2023 | Rosenberg |
| 20230395232 | December 7, 2023 | Rosenberg |
| 20240029856 | January 25, 2024 | Rosenberg |
| 3193419 | March 2022 | CA |
| 2885238 | April 2007 | CN |
| 101964151 | February 2011 | CN |
| 201889024 | July 2011 | CN |
| 202220794 | May 2012 | CN |
| 102670381 | September 2012 | CN |
| 103263336 | August 2013 | CN |
| 103390357 | November 2013 | CN |
| 103473631 | December 2013 | CN |
| 103488880 | January 2014 | CN |
| 103501328 | January 2014 | CN |
| 103721343 | April 2014 | CN |
| 203677851 | July 2014 | CN |
| 104335211 | February 2015 | CN |
| 105620643 | June 2016 | CN |
| 105683977 | June 2016 | CN |
| 103136447 | August 2016 | CN |
| 105894088 | August 2016 | CN |
| 105930668 | September 2016 | CN |
| 205626871 | October 2016 | CN |
| 106127646 | November 2016 | CN |
| 106236502 | December 2016 | CN |
| 106510985 | March 2017 | CN |
| 106621195 | May 2017 | CN |
| 107066819 | August 2017 | CN |
| 107430641 | December 2017 | CN |
| 107551475 | January 2018 | CN |
| 107736982 | February 2018 | CN |
| 107930021 | April 2018 | CN |
| 108078737 | May 2018 | CN |
| 208224811 | December 2018 | CN |
| 109191954 | January 2019 | CN |
| 109363887 | February 2019 | CN |
| 208573971 | March 2019 | CN |
| 110148472 | August 2019 | CN |
| 110201358 | September 2019 | CN |
| 110215188 | September 2019 | CN |
| 110322957 | October 2019 | CN |
| 110808092 | February 2020 | CN |
| 110931103 | March 2020 | CN |
| 110993057 | April 2020 | CN |
| 111105859 | May 2020 | CN |
| 111111110 | May 2020 | CN |
| 111370088 | July 2020 | CN |
| 111460305 | July 2020 | CN |
| 111790111 | October 2020 | CN |
| 112071393 | December 2020 | CN |
| 212141371 | December 2020 | CN |
| 112289425 | January 2021 | CN |
| 212624809 | February 2021 | CN |
| 112603295 | April 2021 | CN |
| 213190965 | May 2021 | CN |
| 113384850 | September 2021 | CN |
| 113499572 | October 2021 | CN |
| 215136488 | December 2021 | CN |
| 113885361 | January 2022 | CN |
| 114049961 | February 2022 | CN |
| 114203274 | March 2022 | CN |
| 216258145 | April 2022 | CN |
| 114632302 | June 2022 | CN |
| 114694824 | July 2022 | CN |
| 114898832 | August 2022 | CN |
| 114983760 | September 2022 | CN |
| 217472652 | September 2022 | CN |
| 110270062 | October 2022 | CN |
| 218420859 | February 2023 | CN |
| 115954081 | April 2023 | CN |
| 95019 | January 1897 | DE |
| 7628633 | December 1977 | DE |
| 8519150 | October 1985 | DE |
| 3732905 | July 1988 | DE |
| 19619820 | December 1996 | DE |
| 29620008 | February 1997 | DE |
| 19947926 | April 2001 | DE |
| 102018202497 | August 2018 | DE |
| 102018211212 | January 2019 | DE |
| 102019108425 | August 2020 | DE |
| 199600 | October 1986 | EP |
| 0383137 | August 1990 | EP |
| 634319 | January 1995 | EP |
| 0919259 | June 1999 | EP |
| 1034817 | September 2000 | EP |
| 1159989 | December 2001 | EP |
| 1391179 | February 2004 | EP |
| 1968028 | September 2008 | EP |
| 2564904 | March 2013 | EP |
| 2575064 | April 2013 | EP |
| 1909730 | April 2014 | EP |
| 2815242 | December 2014 | EP |
| 2869805 | May 2015 | EP |
| 2997951 | March 2016 | EP |
| 2688472 | April 2016 | EP |
| 3264303 | January 2018 | EP |
| 3323473 | May 2018 | EP |
| 3547322 | October 2019 | EP |
| 3627514 | March 2020 | EP |
| 3671700 | June 2020 | EP |
| 3688537 | August 2020 | EP |
| 3731733 | November 2020 | EP |
| 3984508 | April 2022 | EP |
| 3984509 | April 2022 | EP |
| 3984510 | April 2022 | EP |
| 3984511 | April 2022 | EP |
| 3984512 | April 2022 | EP |
| 3984513 | April 2022 | EP |
| 4054699 | September 2022 | EP |
| 4112033 | January 2023 | EP |
| 2527541 | December 1983 | FR |
| 3127393 | March 2023 | FR |
| 141664 | November 1920 | GB |
| 2336140 | October 1999 | GB |
| 2372459 | August 2002 | GB |
| 2512431 | October 2014 | GB |
| 2591542 | March 2022 | GB |
| 201811043670 | July 2018 | IN |
| 2000005339 | January 2000 | JP |
| 2003225875 | August 2003 | JP |
| 2005227928 | August 2005 | JP |
| 2005227928 | August 2005 | JP |
| 2009112336 | May 2009 | JP |
| 2013515995 | May 2013 | JP |
| 2014104139 | June 2014 | JP |
| 3193662 | October 2014 | JP |
| 3198173 | June 2015 | JP |
| 5804063 | November 2015 | JP |
| 2018102842 | July 2018 | JP |
| 2019028647 | February 2019 | JP |
| 2019134909 | August 2019 | JP |
| 6573739 | September 2019 | JP |
| 6659831 | March 2020 | JP |
| 2020057082 | April 2020 | JP |
| 6710357 | June 2020 | JP |
| 6775757 | October 2020 | JP |
| 2021027917 | February 2021 | JP |
| 6871379 | May 2021 | JP |
| 2022521378 | April 2022 | JP |
| 3238491 | July 2022 | JP |
| 7198364 | December 2022 | JP |
| 7202474 | January 2023 | JP |
| 7231750 | March 2023 | JP |
| 7231751 | March 2023 | JP |
| 7231752 | March 2023 | JP |
| 20020009724 | February 2002 | KR |
| 200276919 | May 2002 | KR |
| 20020065253 | August 2002 | KR |
| 100582596 | May 2006 | KR |
| 101042258 | June 2011 | KR |
| 101258250 | April 2013 | KR |
| 101325581 | November 2013 | KR |
| 20140128630 | November 2014 | KR |
| 20150017693 | February 2015 | KR |
| 20150078191 | July 2015 | KR |
| 101580071 | December 2015 | KR |
| 101647620 | August 2016 | KR |
| 20160093990 | August 2016 | KR |
| 20170038837 | April 2017 | KR |
| 20180004928 | January 2018 | KR |
| 20190029175 | March 2019 | KR |
| 20190056116 | May 2019 | KR |
| 101988167 | June 2019 | KR |
| 101969392 | August 2019 | KR |
| 102055279 | December 2019 | KR |
| 102088333 | March 2020 | KR |
| 20200025290 | March 2020 | KR |
| 20200029180 | March 2020 | KR |
| 102097190 | April 2020 | KR |
| 102116664 | May 2020 | KR |
| 102116968 | May 2020 | KR |
| 20200056233 | May 2020 | KR |
| 102120828 | June 2020 | KR |
| 102121586 | June 2020 | KR |
| 102142713 | August 2020 | KR |
| 102162522 | October 2020 | KR |
| 20200119665 | October 2020 | KR |
| 102173553 | November 2020 | KR |
| 102180079 | November 2020 | KR |
| 102188766 | December 2020 | KR |
| 102196793 | December 2020 | KR |
| 20210006212 | January 2021 | KR |
| 102224188 | March 2021 | KR |
| 102224618 | March 2021 | KR |
| 102246049 | April 2021 | KR |
| 102246050 | April 2021 | KR |
| 102246051 | April 2021 | KR |
| 102246052 | April 2021 | KR |
| 20210052028 | May 2021 | KR |
| 102264498 | June 2021 | KR |
| 102352602 | January 2022 | KR |
| 102352603 | January 2022 | KR |
| 102352604 | January 2022 | KR |
| 20220004639 | January 2022 | KR |
| 102387577 | April 2022 | KR |
| 102421437 | July 2022 | KR |
| 20220102207 | July 2022 | KR |
| 102427545 | August 2022 | KR |
| 102467495 | November 2022 | KR |
| 102467496 | November 2022 | KR |
| 102469723 | November 2022 | KR |
| 102471990 | November 2022 | KR |
| 20220145989 | November 2022 | KR |
| 20220156134 | November 2022 | KR |
| 102502744 | February 2023 | KR |
| 20230019349 | February 2023 | KR |
| 20230019350 | February 2023 | KR |
| 20230026556 | February 2023 | KR |
| 20230026668 | February 2023 | KR |
| 20230040526 | March 2023 | KR |
| 20230050506 | April 2023 | KR |
| 20230056118 | April 2023 | KR |
| 102528503 | May 2023 | KR |
| 102531930 | May 2023 | KR |
| 102532766 | May 2023 | KR |
| 102539190 | June 2023 | KR |
| 2014131288 | February 2016 | RU |
| 2607953 | January 2017 | RU |
| M474545 | March 2014 | TW |
| I442956 | July 2014 | TW |
| M638437 | March 2023 | TW |
| 1998009687 | March 1998 | WO |
| 0149235 | July 2001 | WO |
| 0151083 | July 2001 | WO |
| 2001050387 | July 2001 | WO |
| 2001056465 | August 2001 | WO |
| 02062211 | August 2002 | WO |
| 02093312 | November 2002 | WO |
| 2003043494 | May 2003 | WO |
| 2005018453 | March 2005 | WO |
| 2006004430 | January 2006 | WO |
| 2006012694 | February 2006 | WO |
| 2007102709 | September 2007 | WO |
| 2008114291 | September 2008 | WO |
| 2009003170 | December 2008 | WO |
| 2009008968 | January 2009 | WO |
| 2011025322 | March 2011 | WO |
| 2012128801 | September 2012 | WO |
| 2013002568 | January 2013 | WO |
| 2023164292 | March 2013 | WO |
| 2013122839 | August 2013 | WO |
| 2014011447 | January 2014 | WO |
| 2014163976 | October 2014 | WO |
| 2015026744 | February 2015 | WO |
| 2015065298 | May 2015 | WO |
| 2015082555 | June 2015 | WO |
| 2016151364 | September 2016 | WO |
| 2016154318 | September 2016 | WO |
| 2017030781 | February 2017 | WO |
| 2017166074 | May 2017 | WO |
| 2017091691 | June 2017 | WO |
| 2017165238 | September 2017 | WO |
| 2018081795 | May 2018 | WO |
| 2018171853 | September 2018 | WO |
| 2019022706 | January 2019 | WO |
| 2019143940 | July 2019 | WO |
| 2020075190 | April 2020 | WO |
| 2020130979 | June 2020 | WO |
| 2020149815 | July 2020 | WO |
| 2020229705 | November 2020 | WO |
| 2020245727 | December 2020 | WO |
| 2020249855 | December 2020 | WO |
| 2020252599 | December 2020 | WO |
| 2020256577 | December 2020 | WO |
| 2021021447 | February 2021 | WO |
| 2021022003 | February 2021 | WO |
| 2021038980 | March 2021 | WO |
| 2021055427 | March 2021 | WO |
| 2021061061 | April 2021 | WO |
| 2021090267 | May 2021 | WO |
| 2021138620 | July 2021 | WO |
| 2021216881 | October 2021 | WO |
| 2021236961 | November 2021 | WO |
| 2022047006 | March 2022 | WO |
| 2022092493 | May 2022 | WO |
| 2022092494 | May 2022 | WO |
| 2022212883 | October 2022 | WO |
| 2022212921 | October 2022 | WO |
| 2022216498 | October 2022 | WO |
| 2022251420 | December 2022 | WO |
| 2023008680 | February 2023 | WO |
| 2023008681 | February 2023 | WO |
| 2023022319 | February 2023 | WO |
| 2023022320 | February 2023 | WO |
| 2023052695 | April 2023 | WO |
| 2023091496 | May 2023 | WO |
| 2023215155 | November 2023 | WO |
| 2023230075 | November 2023 | WO |
| 2024013267 | January 2024 | WO |
| 2024107807 | May 2024 | WO |
- Alcaraz et al., “Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation,” 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, 2018, 6 pages.
- Androutsou et al., “A Smartphone Application Designed to Engage the Elderly in Home-Based Rehabilitation,” Frontiers in Digital Health, Sep. 2020, vol. 2, Article 15, 13 pages.
- Silva et al., “SapoFitness: A mobile health application for dietary evaluation,” 2011 IEEE 13th International Conference on U e-Health Networking, Applications and Services, Columbia, MO, USA, 2011, 6 pages.
- Wang et al., “Interactive wearable systems for upper body rehabilitation: a systematic review,” Journal of NeuroEngineering and Rehabilitation, 2017, 21 pages.
- Marzolini et al., “Eligibility, Enrollment, and Completion of Exercise-Based Cardiac Rehabilitation Following Stroke Rehabilitation: What Are the Barriers?,” Physical Therapy, vol. 100, No. 1, 2019, 13 pages.
- Nijjar et al., “Randomized Trial of Mindfulness-Based Stress Reduction in Cardiac Patients Eligible for Cardiac Rehabilitation,” Scientific Reports, 2019, 12 pages.
- Lara et al., “Human-Robot Sensor Interface for Cardiac Rehabilitation,” IEEE International Conference on Rehabilitation Robotics, Jul. 2017, 8 pages.
- Ishraque et al., “Artificial Intelligence-Based Rehabilitation Therapy Exercise Recommendation System,” 2018 IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, MA, USA, 2018, 5 pages.
- Zakari et al., “Are There Limitations to Exercise Benefits in Peripheral Arterial Disease?,” Frontiers in Cardiovascular Medicine, Nov. 2018, vol. 5, Article 173, 12 pages.
- You et al., “Including Blood Vasculature into a Game-Theoretic Model of Cancer Dynamics,” Games 2019, 10, 13, 22 pages.
- Jeong et al., “Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform,” Sep. 2012, 34th Annual International Conference of the IEEE EMBS, 5 pages.
- Barrett et al., “Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care,” EPMA Journal (2019), pp. 445-464.
- Oerkild et al., “Home-based cardiac rehabilitation is an attractive alternative to no cardiac rehabilitation for elderly patients with coronary heart disease: results from a randomised clinical trial,” BMJ Open Accessible Medical Research, Nov. 22, 2012, pp. 1-9.
- Bravo-Escobar et al., “Effectiveness and safety of a home-based cardiac rehabilitation programme of mixed surveillance in patients with ischemic heart disease at moderate cardiovascular risk: A randomised, controlled clinical trial,” BMC Cardiovascular Disorders, 2017, pp. 1-11, vol. 17:66.
- Thomas et al., “Home-Based Cardiac Rehabilitation,” Circulation, 2019, pp. e69-e89, vol. 140.
- Thomas et al., “Home-Based Cardiac Rehabilitation,” Journal of the American College of Cardiology, Nov. 1, 2019, pp. 133-153, vol. 74.
- Thomas et al., “Home-Based Cardiac Rehabilitation,” HHS Public Access, Oct. 2, 2020, pp. 1-39.
- Dittus et al., “Exercise-Based Oncology Rehabilitation: Leveraging the Cardiac Rehabilitation Model,” Journal of Cardiopulmonary Rehabilitation and Prevention, 2015, pp. 130-139, vol. 35.
- Chen et al., “Home-based cardiac rehabilitation improves quality of life, aerobic capacity, and readmission rates in patients with chronic heart failure,” Medicine, 2018, pp. 1-5 vol. 97:4.
- Lima de Melo Ghisi et al., “A systematic review of patient education in cardiac patients: Do they increase knowledge and promote health behavior change?,” Patient Education and Counseling, 2014, pp. 1-15.
- Fang et al., “Use of Outpatient Cardiac Rehabilitation Among Heart Attack Survivors—20 States and the District of Columbia, 2013 and Four States, 2015,” Morbidity and Mortality Weekly Report, vol. 66, No. 33, Aug. 25, 2017, pp. 869-873.
- Beene et al., “AI and Care Delivery: Emerging Opportunities for Artificial Intelligence to Transform How Care Is Delivered,” Nov. 2019, American Hospital Association, pp. 1-12.
- Chrif et al., “Control design for a lower-limb paediatric therapy device using linear motor technology,” Article, 2017, pp. 119-127, Science Direct, Switzerland.
- Robben et al., “Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health,” Article, 2016, pp. 2168-2194, vol. 21, No. 4, IEEE Journal of Biomedical and Health Informatics.
- Kantoch et al., “Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk,” Article, 2018, 17 pages, Sensors, Poland.
- Warburton et al., “International Launch of the PAR-⋅Q+ and ePARmed-⋅X+ Validation of the PAR-⋅Q+ and ePARmed⋅⋅X+,” Health & Fitness Journal of Canada, 2011, 9 pages, vol. 4, No. 2.
- Malloy, Online Article “AI-enabled EKGs find difference between numerical age and biological age significantly affects health, longevity”, Website: https://newsnetwork.mayoclinic.org/discussion/ai-enabled-ekgs-find-difference-between-numerical-age-and-biological-age-significantly-affects-health-longevity/, Mayo Clinic News Network, May 20, 2021, retrieved: Jan. 23, 2023, p. 1-4.
- Davenport et al., “The Potential for Artificial Intelligence In Healthcare”, 2019, Future Healthcare Journal 2019, vol. 6, No. 2: Year: 2019, pp. 1-5.
- Ahmed et al., “Artificial Intelligence With Multi-Functional Machine Learning Platform Development for Better Healthcare and Precision Medicine”, 2020, Database (Oxford), 2020:baaa010. doi: 10.1093/database/baaa010 (Year: 2020), pp. 1-35.
- Ruiz Ivan et al., “Towards a physical rehabilitation system using a telemedicine approach”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 8, No. 6, Jul. 28, 2020, pp. 671-680, XP055914810.
- De Canniere Helene et al., “Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation”, Sensors, vol. 20, No. 12, Jun. 26, 2020, XP055914617, pp. 1-15.
- Boulanger Pierre et al., “A Low-cost Virtual Reality Bike for Remote Cardiac Rehabilitation”, Dec. 7, 2017, Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea, pp. 155-166.
- Yin Chieh et al., “A Virtual Reality-Cycling Training System for Lower Limb Balance Improvement”, BioMed Research International, vol. 2016, pp. 1-10.
- Gerbild et al., “Physical Activity to Improve Erectile Dysfunction: A Systematic Review of Intervention Studies,” Sexual Medicine, 2018, 15 pages.
- Jeong et al., “Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform,” Sep. 2012, pp. 1-5, 34th Annual International Conference of the IEEE EMBS.
- International Search Report and Written Opinion for PCT/US2023/014137, dated Jun. 9, 2023, 13 pages.
- Website for “Esino 2022 Physical Therapy Equipments Arm Fitness Indoor Trainer Leg Spin Cycle Machine Exercise Bike for Elderly,” https://www.made-in-china.com/showroom/esinogroup/product-detailYdZlwGhCMKVR/China-Esino-2022-Physical-Therapy-Equipments-Arm-Fitness-Indoor-Trainer-Leg-Spin-Cycle-Machine-Exercise-Bike-for-Elderly.html, retrieved on Aug. 29, 2023, 5 pages.
- Abedtash, “An Interoperable Electronic Medical Record-Based Platform for Personalized Predictive Analytics”, ProQuest LLC, Jul. 2017, 185 pages.
- Claris Healthcare Inc., Claris Reflex Patient Rehabilitation System Brochure, retrieved on Oct. 2, 2019, 5 bages, https://clarisreflex.com/.
- Fysiomed, 16983—Vario adjustable pedal arms, retrieved from timestamp of Jun. 7, 2017 from https://web.archive.org/web/20160607052632/https://www.fysiomed.com/en/products/16983-vario-adjustable-pedal-arms on Dec. 15, 2021, 4 pages.
- HCL Fitness, HCI Fitness PhysioTrainer Upper Body Ergonometer, announced 2009 [online], retrieved on Aug. 19, 2021, 8 pages, www.amazon.com/HCI-Fitness-PhysioTrainer-Upper-Ergonometer/dp/B001 P5GUGM.
- HCL Fitness, HCI Fitness PhysioTrainer Pro, 2017, retrieved on Aug. 19, 2021, 7 pages, https://www.amazon.com/HCI-Fitness-Physio Trainer-Electronically-Controlled/dp/B0759YMW78/.
- International Preliminary Report on Patentability of International Application No. PCT/US2017/50895, Date of Mailing Dec. 11, 2018, 52 pages.
- International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2017/50895, Date of Mailing Jan. 12, 2018, 6 pages.
- International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2020/021876, Date of Mailing May 28, 2020, 8 pages.
- International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2020/051008, Date of Mailing Dec. 10, 2020, 9 pages.
- International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2020/056661, Date of Mailing Feb. 12, 2021, 12 pages.
- Matrix, R3xm Recumbent Cycle, retrieved on Aug. 4, 2020, 7 pages, https://www.matrixfitness.com/en/cardio/cycles/r3xm-recumbent.
- ROM3 Rehab, ROM3 Rehab System, Apr. 20, 2015, retrieved on Aug. 31, 2018, 12 pages, https://vimeo.com/125438463.
- International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2021/032807, Date of Mailing Sep. 6, 2021, 11 pages.
- Jennifer Bresnick, “What is the Role of Natural Language Processing in Healthcare?”, pp. 1-7, published Aug. 18, 2016, retrieved on Feb. 1, 2022 from https://healthitanalytics.com/ featu res/what-is-the-role-of-natural-language-processing-in-healthcare.
- Alex Bellec, “Part-of-Speech tagging tutorial with the Keras Deep Learning library,” pp. 1-16, published Mar. 27, 2018, retrieved on Feb. 1, 2022 from https://becominghuman.ai/part-of-speech-tagging-tutorial-with-the-keras-deep-learning-library-d7f93fa05537.
- Kavita Ganesan, All you need to know about text preprocessing for NLP and Machine Learning, pp. 1-14, published Feb. 23, 2019, retrieved on Feb. 1, 2022 from https:// towardsdatascience.com/all-you-need-to-know-about-text-preprocessing-for-nlp-and-machine-learning-bcl c5765ff67.
- Badreesh Shetty, “Natural Language Processing (NPL) for Machine Learning,” pp. 1-13, published Nov. 24, 2018, retrieved on Feb. 1, 2022 from https://towardsdatascience. com/natural-language-processing-nlp-for-machine-learning-d44498845d5b.
- Website for “Pedal Exerciser”, p. 1, retrieved on Sep. 9, 2022 from https://www.vivehealth.com/collections/physical-therapy-equipment/products/pedalexerciser.
- Website for “Functional Knee Brace with ROM”, p. 1, retrieved on Sep. 9, 2022 from http://medicalbrace.gr/en/product/functional-knee-brace-with-goniometer-mbtelescopicknee/.
- Website for “ComfySplints Goniometer Knee”, pp. 1-5, retrieved on Sep. 9, 2022 from https://www.comfysplints.com/product/knee-splints/.
- Website for “BMI FlexEze Knee Corrective Orthosis (KCO)”, pp. 1-4, retrieved on Sep. 9, 2022 from https://orthobmi.com/products/bmi-flexeze%C2%AE-knee-corrective-orthosis-kco.
- Website for “Neoprene Knee Brace with goniometer—Patella Rom MB.4070”, pp. 1-4, retrieved on Sep. 9, 2022 from https://www.fortuna.com.gr/en/product/neoprene-knee-brace-with-goniometer-patella-rom-mb-4070/.
- Kuiken et al., “Computerized Biofeedback Knee Goniometer: Acceptance and Effect on Exercise Behavior in Post-total Knee Arthroplasty Rehabilitation,” Biomedical Engineering Faculty Research and Publications, 2004, pp. 1-10.
- Ahmed et al., “Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine,” Database, 2020, pp. 1-35.
- Davenport et al., “The potential for artificial intelligence in healthcare,” Digital Technology, Future Healthcare Journal, 2019, pp. 1-5, vol. 6, No. 2.
- Website for “OxeFit XS1”, pp. 1-3, retrieved on Sep. 9, 2022 from https://www.oxefit.com/xs1.
- Website for “Preva Mobile”, pp. 1-6, retrieved on Sep. 9, 2022 from https://www.precor.com/en-us/resources/introducing-preva-mobile.
- Website for “J-Bike”, pp. 1-3, retrieved on Sep. 9, 2022 from https://www.magneticdays.com/en/cycling-for-physical-rehabilitation.
- Website for “Excy”, pp. 1-12, retrieved on Sep. 9, 2022 from https://excy.com/portable-exercise-rehabilitation-excy-xcs-pro/.
- Website for “OxeFit XP1”, p. 1, retrieved on Sep. 9, 2022 from https://www.oxefit.com/xp1.
- Jeong et al., “Remotely controlled biking is associated with improved adherence to prescribed cycling speed,” Technology and Health Care 23, 2015, 7 pages.
- Laustsen et al., “Telemonitored exercise-based cardiac rehabilitation improves physical capacity and health-related quality of life,” Journal of Telemedicine and Telecare, 2020, DOI: 10.1177/1357633X18792808, 9 pages.
- Blasiak et al., “CURATE.AI: Optimizing Personalized Medicine with Artificial Intelligence,”SLAS TECHNOLOGY: Translating Life Sciences Innovation, 2020, 11 pages.
- Ahmed et al., “Artificial Intelligence With Multi-Functional Machine Learning Platform Development for Better Healthcare and Precision Medicine,” Database (Oxford), 2020, pp. 1-35, vol. 2020.
- Davenport et al., “The Potential for Artificial Intelligence in Healthcare,” Future Healthcare Journal, 2019, pp. 94-98, vol. 6, No. 2.
Type: Grant
Filed: Jan 31, 2022
Date of Patent: May 13, 2025
Patent Publication Number: 20220158916
Assignee: ROM Technologies, Inc. (Brookfield, CT)
Inventors: Steven Mason (Las Vegas, NV), Daniel Posnack (Fort Lauderdale, FL), Peter Arn (Roxbury, CT), Wendy Para (Las Vegas, NV), S. Adam Hacking (Nashua, NH), Micheal Mueller (Oil City, PA), Joseph Guaneri (Merrick, NY), Jonathan Greene (Denver, CO)
Primary Examiner: Timothy J Weidner
Application Number: 17/589,409